Careers at BlackRock

About this role About This Role We are looking for a Frontend Software Engineer to help build and enhance our internal platform which supports operations , sales , and portfolio management workflows. In this role, you will create intuitive user experiences that help investment professionals analyze data, manage strategies, and make informed decisions. This is an opportunity to work on complex, business-critical applications in a fast-paced environment, partnering closely with cross-functional teams to deliver impactful technology. At BlackRock, your work will combine the scale and stability of a global firm with the ownership and innovation of a product-driven engineering team. With over USD $14 trillion of assets, we have an exceptional responsibility: our technology empowers millions of investors to save for retirement, pay for university, buy a home, and improve their financial well-being. Being an engineer at BlackRock means you get the best of both worlds: working for one of the most sophisticated financial companies while being part of a software development team responsible for next-generation technology and solutions. About You Tenacious: You excel in a fast-paced, highly complex environment and persist in solving tough challenges. Creative problem solver: You analyze multiple solutions and deploy technologies in a flexible way to tackle problems efficiently. Collaborative teammate: You think and work collaboratively, communicate effectively, and inspire those around you. Fast learner: You pick up new concepts quickly and apply them to your work with minimal guidance. What you’ll do : Contribute to continuous improvement of engineering ways of working (CI/CD, automated testing, best practices) Design and build complex, workflow-driven user interfaces using TypeScript and React Drive performance optimization, maintainability, and architectural consistency across applications Collaborate closely with cross-functional stakeholders to deliver business-critical enhancements Skills and Experience: Strong expertise in TypeScript and React Expertise building and maintaining tooling for TypeScript projects (e.g., build systems, testing frameworks, developer workflows) Experience building large-scale, production-grade front-end applications Deep understanding of UI architecture, state management, and performance optimization UX expertise : experience designing intuitive applications that distill complex, real-time data into clear, actionable user experiences, with a strong focus on user productivity Take ownership of parts of a SaaS product, including production monitoring and incident resolution Demonstrable experience building modern software using engineering tools such as git, unit testing and integration testing tools, mocking frameworks. Background in building high-quality software using design-focused and test-driven approaches Strong analytical and software design skills, with an emphasis on writing well-tested code. Ability to form positive relationships with partnering teams, sponsors, and user groups. Nice to have Familiarity with Visual Regression Testing and Unit Testing Knowledge of functional programming ( RxJS ) Experience working with REST APIs and WebSockets Understanding of financial markets and industry workflows For Chicago, IL Only the salary range for this position is USD$120,000.00 - USD$148,000.00 . Additionally, employees are eligible for an annual discretionary bonus, and benefits including healthcare, leave benefits, and retirement benefits. BlackRock operates a pay-for-performance compensation philosophy and your total compensation may vary based on role, location, and firm, department and individual performance. Our benefits To help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about. Our hybrid work model BlackRock’s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person – aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock. Guidance on AI use for candidates At BlackRock, AI has long been part of how we work – enhancing decision-making, improving operations, and helping us deliver better outcomes for clients. We encourage candidates to use AI thoughtfully to learn, prepare, and work more effectively; but during our interview process, we want to focus on getting to know you through your own experiences, thinking, and judgment. To support you, we’ve provided guidance on when and how to use AI during our hiring process so you can approach each step with confidence and showcase your best self. About BlackRock At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children’s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress. This mission would not be possible without our smartest investment – the one we make in our employees. It’s why we’re dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive. To learn more about BlackRock, please visit Careers.BlackRock.com . We also encourage you to get to know us on LinkedIn , Instagram , YouTube , X , and TikTok . BlackRock is proud to be an equal opportunity workplace. We are committed to equal employment opportunity to all applicants and existing employees, and we evaluate qualified applicants without regard to race, creed, color, national origin, sex (including pregnancy and gender identity/expression), sexual orientation, age, ancestry, physical or mental disability, marital status, political affiliation, religion, citizenship status, genetic information, veteran status, or any other basis protected under applicable federal, state, or local law. View the EEOC’s Know Your Rights poster and its supplement and the pay transparency statement . BlackRock is committed to full inclusion of all qualified individuals and to providing reasonable accommodations or job modifications for individuals with disabilities. If reasonable accommodation/adjustments are needed throughout the employment process, please email Disability.Assistance@blackrock.com . All requests are treated in line with our privacy policy . BlackRock will consider for employment qualified applicants with arrest or conviction records in a manner consistent with the requirements of the law, including any applicable fair chance law.

About this role We are looking for a Senior Applied AI Researcher ( 6 + years of experience) to join our data science team working on advanced AI-driven solutions . This is primarily an individual contributor role , with responsibility for owning end-to-end ownership of complex modelling / AI problem areas and t echnical ownership of AI capabilities critical to the product . The role focuses on the research, prototyping, evaluation, and improvement of AI solutions , with hands-on work across LLM-based systems , including agent-style workflows and retrieval-augmented generation (RAG) where appropriate . You will work end-to-end: collaborating with stakeholders and product managers to define problems, building and validating prototypes, presenting findings to diverse audiences, and supporting engineering teams during implementation and production rollout. Key Responsibilities End-to-end AI solution ownership Own AI projects or functional modules from problem definition through prototype validation and production support . Partner with product managers and business stakeholders to translate real-world problems into clearly scoped data science and AI initiatives. Independently plan and execute research, experimentation, and iteration cycles in ambiguous problem spaces. Design AI solutions with a system‑level perspective, ensuring scalability, maintainability, and long‑term sustainability. Applied AI, LLMs, and agentic systems Design and prototype LLM-powered solutions , including RAG-based systems and agent-like workflows ( e.g. tool use, orchestration, multi-step reasoning). Contribute to defining system behavior, scope, and constraints, with attention to quality, robustness, and operational considerations. Stay current with emerging AI techniques and apply them pragmatically to solve business problems. Evaluation, validation, and performance improvement Build and maintain evaluation frameworks to assess AI system performance (accuracy, reliability, relevance, robustness, safety). Develop quantitative and qualitative metrics, benchmarks, and testing approaches to validate prototypes and track improvements. Analyze existing solutions to identify gaps and drive continuous, data-driven performance enhancements. Collaboration and communication Work closely with data scientists, engineers, and product teams to ensure smooth transition from prototype to production. Clearly communicate methods, assumptions, results, and limitations to technical and non-technical audiences . Support engineering teams during implementation by clarifying evaluation criteria, edge cases, and expected system behavior. Serve as a technical authority and actively mentor junior data scientists, shaping best practices in experimentation, evaluation, and AI system design. Ways of working Contribute actively within an Agile / SCRUM development environment. Apply good engineering hygiene in research and prototype code to enable reproducibility and collaboration. Required Qualifications 6 + years of experience in data science, applied machine learning, or a closely related role. Strong mathematical, statistical, and machine learning foundations , including probability, statistics, optimization, and model evaluation. Proven ability to select, apply, and critically evaluate ML models and algorithms for real-world problems. Strong Python skills for analysis, modelling, experimentation, and prototyping. Strong SQL skills for data exploration, transformation, and analytical workflows. Excellent analytical thinking and problem-structuring abilities; comfort operating independently with loosely defined goals. Experience using Git for version control and collaborative development. Strong English communication skills , both written and verbal. Preferred Qualifications (Strong Plus) Hands-on experience with LLMs , including prompt/system design and building real-world applications. Experience with RAG systems , including retrieval strategies, chunking, evaluation, and performance tuning. Experience designing or contributing to agent-style AI systems and familiarity with concepts such as agent evaluation, guardrails, and reliability testing. ML modeling experience ( e.g. supervised learning, ranking, classification) beyond exploratory analysis. Understanding of software engineering best practices , including testing strategies and CI/CD concepts. Experience working in Azure or similar cloud environments. Familiarity with Snowflake (and optionally Snowflake AI) as part of a modern data stack. Experience collaborating closely with domain experts; financial domain exposure is a plus but not required for strong technical candidates. What Success Looks Like in This Role You independently deliver high-quality AI prototypes and evaluation frameworks for a defined subdomain or application module. You proactively define scope, success metrics, and experimentation plans, helping shape architecture and design decisions. Your evaluation approaches enable reliable comparison, regression prevention, and continuous improvement of AI solutions. Engineering teams can confidently productionize your work thanks to clear designs, metrics, and collaboration. Over time, you raise the technical maturity of AI development and evaluation practices within the team. The salary range for Hungary is 20100000 - 32400000 HUF Additionally, employees are eligible for an annual discretionary bonus, and benefits including healthcare, leave benefits, and retirement benefits. BlackRock operates a pay-for-performance compensation philosophy and your total compensation may vary based on role, location, and firm, department and individual performance. Our benefits To help you stay energized, engaged and inspired, we offer a wide range of employee benefits including: retirement investment and tools designed to help you in building a sound financial future; access to education reimbursement; comprehensive resources to support your physical health and emotional well-being; family support programs; and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about. Our hybrid work model BlackRock’s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person – aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock. Guidance on AI use for candidates At BlackRock, AI has long been part of how we work – enhancing decision-making, improving operations, and helping us deliver better outcomes for clients. We encourage candidates to use AI thoughtfully to learn, prepare, and work more effectively; but during our interview process, we want to focus on getting to know you through your own experiences, thinking, and judgment. To support you, we’ve provided guidance on when and how to use AI during our hiring process so you can approach each step with confidence and showcase your best self. About BlackRock At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children’s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress. This mission would not be possible without our smartest investment – the one we make in our employees. It’s why we’re dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive. To learn more about BlackRock, please visit Careers.BlackRock.com . We also encourage you to get to know us on LinkedIn , Instagram , YouTube , X , and TikTok . BlackRock is proud to be an Equal Opportunity Employer. We evaluate qualified applicants without regard to age, disability, race, religion, sex, sexual orientation and other protected characteristics at law.

About this role Web Tech Solutions The Web Tech Solutions team is responsible for providing a solid software technology platform serving more than 100 public-facing websites of our company under the blackrock.com and ishares.com domains. These websites provide comprehensive data about investment funds across a large universe of product pages, support high volumes of web content and document updates, and provide authentication for registered users globally. Product Pages 3.0 is a major platform modernization effort focused on scaling a new product page experience across regions, with an immediate focus on UK and Germany delivery acceleration. The work requires strong engineering leadership across frontend and full stack delivery, CMS and configuration-driven product data flows, component development, release hardening, QA and accessibility validation, as well as business and compliance sign-off. You will be: Leading a team of engineers hired to increase delivery capacity for project rollout. Owning technical execution across frontend and full stack workstreams, ensuring component delivery is aligned to a scalable platform model rather than isolated one-off solutions. Providing hands-on technical leadership in JavaScript, TypeScript and modern frontend frameworks, while being able to guide backend, API, configuration and integration discussions where needed. Driving project planning, execution, prioritization, and delivery in partnership with product, technical leadership, and business stakeholders. Translating business, design, regulatory and regional requirements into clear engineering work items that can move through implementation, code review, QA, validation and sign-off. Establishing clear delivery discipline across the engineering process, including release blockers, current release work, next release work, and modernization / technical debt items. Ensuring production and release blockers are triaged quickly, assigned to the right engineers, and resolved with adequate test evidence and stakeholder communication. Conducting code reviews, promoting shared engineering standards, and ensuring changes to shared components, services and configuration patterns are safe and maintainable. Facilitating effective communication within the team and with stakeholders, ensuring project goals, risks, blockers, scope changes and release readiness are clearly understood. Helping reduce coordination overhead by building a unified delivery model with clear ownership, meaningful ceremonies, and early escalation of risks. What You'll Need: Minimum 7 years of professional software development experience, with strong hands-on experience in JavaScript and TypeScript . Experience leading software engineering teams in a global environment, including people management, mentoring, performance feedback, and career development. Practical experience using AI-assisted engineering tools to improve code quality, developer productivity, debugging, documentation, or delivery workflows. Strong React expertise with the ability to drive frontend architecture across a large, shared codebase. Full stack engineering experience, including API integration, service-oriented design, configuration-driven applications, and debugging across frontend, backend, data and environment layers. Enterprise experience with Java and Spring Boot Strong HTML, CSS, responsive UI, browser compatibility, and accessibility fundamentals. Experience delivering software in release-sensitive environments with QA, UAT, compliance, business validation, and production-readiness gates. Strong understanding of Git-based development, pull requests, code review, CI/CD pipelines, branching strategies and release management. Experience with cloud platforms such as Microsoft Azure or Amazon Web Services (AWS). Experience with software containerization platforms such as Docker or Kubernetes. Strong analytical skills and passion to understand existing systems before changing them. Ability to balance hands-on technical contributions with team leadership, stakeholder management, and delivery accountability. Strong teamwork, interpersonal skills, communication skills and time management abilities. Proficiency in building and passion for creating great products that solve complex problems. Nice to have: Experience with Adobe Experience Manager, CMS-driven websites or other large-scale public web platforms. Experience with financial services, investment product data or regulated digital content delivery. Hands-on relational database / SQL and / or NoSQL database skills. Experience with Azure DevOps boards, structured defect triage, release blocker management and prioritization lanes. Experience with QA automation, regression testing, accessibility testing or production readiness evidence. Understanding of performance optimization, analytics tagging, SEO / LLM crawlability, and structured data / schema markup. Experience leading distributed teams across Product, Design, Engineering, QA, Operations, Legal/Compliance and business stakeholders. Experience onboarding and managing contingent worker capacity or vendor-supported engineering delivery. The salary range for Hungary is 20100000 - 32400000 HUF Additionally, employees are eligible for an annual discretionary bonus, and benefits including healthcare, leave benefits, and retirement benefits. BlackRock operates a pay-for-performance compensation philosophy and your total compensation may vary based on role, location, and firm, department and individual performance. Our benefits To help you stay energized, engaged and inspired, we offer a wide range of employee benefits including: retirement investment and tools designed to help you in building a sound financial future; access to education reimbursement; comprehensive resources to support your physical health and emotional well-being; family support programs; and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about. Our hybrid work model BlackRock’s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person – aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock. Guidance on AI use for candidates At BlackRock, AI has long been part of how we work – enhancing decision-making, improving operations, and helping us deliver better outcomes for clients. We encourage candidates to use AI thoughtfully to learn, prepare, and work more effectively; but during our interview process, we want to focus on getting to know you through your own experiences, thinking, and judgment. To support you, we’ve provided guidance on when and how to use AI during our hiring process so you can approach each step with confidence and showcase your best self. About BlackRock At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children’s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress. This mission would not be possible without our smartest investment – the one we make in our employees. It’s why we’re dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive. To learn more about BlackRock, please visit Careers.BlackRock.com . We also encourage you to get to know us on LinkedIn , Instagram , YouTube , X , and TikTok . BlackRock is proud to be an Equal Opportunity Employer. We evaluate qualified applicants without regard to age, disability, race, religion, sex, sexual orientation and other protected characteristics at law.

About this role The Senior Data Engineer (VP) designs, develops, and supports enterprise-scale data platform capabilities using Airflow, dbt, Python, SQL, cloud-native technologies, and cloud data warehouse platforms to deliver scalable, reliable, and high-performance data solutions. The role focuses on building data pipelines, reusable frameworks, metadata-driven processing, data quality and governance capabilities, workflow orchestration, and platform automation, while leveraging emerging technologies such as Agentic AI to enhance engineering productivity and operational efficiency. Working closely with cross-functional teams, the engineer delivers end-to-end platform solutions, supports production operations, drives continuous improvements in platform performance and reliability, contributes to engineering best practices and platform modernization initiatives, and mentors junior engineers to foster technical excellence and continuous learning. Responsibilities Actively participate in Agile ceremonies, including requirements refinement, sprint planning, effort estimation, sprint reviews, and retrospectives, to support successful delivery of platform capabilities. Participate in technical design discussions, analyze requirements, and translate complex business needs into scalable data platform solutions. Design, develop, and optimize core enterprise data platform capabilities, including data acquisition, ingestion, transformation, workflow orchestration, and reusable processing frameworks, leveraging Python, SQL, cloud-native technologies, and cloud data warehouse platforms to support large-scale, high-performance data processing. Build and optimize large-scale data pipelines supporting data ingestion, transformation, validation, and distribution across enterprise cloud environments. Implement metadata-driven processing frameworks and reusable engineering patterns that improve automation, standardization, scalability, and reuse. Build and enhance platform capabilities related to metadata management, lineage, dependency tracking, data quality, governance, and workflow control. Incorporate Agentic AI capabilities into platform services to enhance automation, intelligent decision-making, developer productivity, and operational efficiency. Partner with cross-functional teams to support collaborative development, system integration, and end-to-end testing across platform components and dependent systems. Develop and maintain system, integration, regression, and test automation frameworks to ensure platform quality, reliability, and production readiness. Support deployment and release activities, ensuring successful rollout of platform enhancements and seamless integration with dependent systems and downstream consumers. Contribute to engineering standards, architectural patterns, operational best practices, and framework conventions that improve platform maintainability, consistency, scalability, and supportability. Provide L2/L3 production support for data platforms and products, perform root cause analysis, and implement corrective actions to ensure platform stability and operational excellence. Drive continuous improvements in platform performance, scalability, resilience, observability, and operational efficiency across data workflows and framework components. Lead Proof of Concepts (POCs) and technology evaluations to assess emerging technologies, validate architectural approaches, and identify opportunities for platform modernization and innovation. Support product documentation by providing technical expertise , implementation details, and content validation to ensure accuracy, completeness, and alignment with platform capabilities. Conduct live product demonstrations and participate in user workshops to showcase platform capabilities, gather feedback, validate solutions, and support platform adoption Required Qualifications Bachelor’s degree in Computer Science , Information Systems, or a related technical field. 8+ years of experience in Data Engineering, Data Platform Engineering, or a related software engineering role. Hands-on experience with Apache Airflow for orchestrating complex, dependency-driven data pipelines and workflows. Strong proficiency in Python, with hands-on experience developing scalable, production-grade data pipelines and frameworks. Hands-on experience designing and building ETL/ELT frameworks, reusable data pipeline components, and workflow-driven data systems. Hands-on experience with Snowflake or equivalent cloud-native analytical data platforms. Strong hands-on experience writing and optimizing complex SQL, including stored procedures, UDFs, and performance-critical queries. Proven experience in query optimization, performance tuning, and workload management for large-scale data environments. Extensive hands-on experience with dbt , including data modeling, transformation, testing, documentation, and deployment within modern data platforms. Proven track record of improving the performance, reliability, scalability, and maintainability of enterprise data platforms and pipelines. Hands-on experience with streaming technologies (e.g., Snowpipe , Kafka) and messaging platforms for building scalable, real-time data processing solutions. Hands-on experience building solutions in cloud-native and distributed environments, leveraging object storage, cloud data services, and major cloud platforms such as Azure, AWS, or GCP. Exposure to Apache Iceberg, leveraging schema evolution, partition evolution, and time-travel capabilities to build scalable and reliable data lake solutions. Experience with SDK and API-based development, enabling seamless integration of data platforms, cloud services, and enterprise applications through secure and scalable interfaces. Hands-on experience designing and developing cloud-native data platforms, including Data Lake and Data Warehouse architectures, using modern data engineering best practices. Exposure to AI-native development tools such as Windsurf, Cursor, and Antigravity, leveraging AI-assisted coding, testing, and automation to improve engineering productivity and software delivery. Understanding of Agentic AI architectures, including Skills, Model Context Protocol (MCP), Vector Databases, Retrieval-Augmented Generation (RAG), and AI Agent orchestration concepts. Experience working with Docker, Kubernetes, and containerized deployment architectures in modern engineering environments. Strong understanding of software engineering principles, scalable system design, and modern development practices, including Agile methodologies, Git-based source control, CI/CD pipelines, code reviews, and production-grade development standards. Experience implementing and managing metadata, lineage, dependency management, data quality controls, observability, and operational governance within enterprise data ecosystems. Experience driving technical design decisions, decomposing complex initiatives, mentoring engineers, and collaborating effectively with cross-functional engineering and business stakeholders. Excellent verbal and written communication skills, with the ability to articulate complex technical concepts to both technical and non-technical audiences. Strong analytical, critical-thinking, and problem-solving skills, with a proactive, solution-oriented mindset and the ability to apply innovative, out-of-the-box thinking to solve complex challenges. Adaptable and collaborative team player with a continuous learning mindset and passion for emerging technologies. Proven ability to mentor and guide engineers, fostering technical excellence, knowledge sharing, and engineering best practices across teams. Our benefits To help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about. Our hybrid work model BlackRock’s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person – aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock. Guidance on AI use for candidates At BlackRock, AI has long been part of how we work – enhancing decision-making, improving operations, and helping us deliver better outcomes for clients. We encourage candidates to use AI thoughtfully to learn, prepare, and work more effectively; but during our interview process, we want to focus on getting to know you through your own experiences, thinking, and judgment. To support you, we’ve provided guidance on when and how to use AI during our hiring process so you can approach each step with confidence and showcase your best self. About BlackRock At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children’s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress. This mission would not be possible without our smartest investment – the one we make in our employees. It’s why we’re dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive. To learn more about BlackRock, please visit Careers.BlackRock.com . We also encourage you to get to know us on LinkedIn , Instagram , YouTube , X , and TikTok . BlackRock is proud to be an Equal Opportunity Employer. We evaluate qualified applicants without regard to age, disability, family status, gender identity, race, religion, sex, sexual orientation and other protected attributes at law.

About this role Lead Java Developer, Software Engineering – Platform Engineering Your team The Platform Engineering team architects and builds the foundational technology that supports Aladdin, BlackRock’s investment operating system. Aladdin connects the information, people, and technology needed to manage money in real time, combining risk analytics with portfolio management, trading, and operations capabilities. The team builds core infrastructure and platforms that improve developer productivity, stability, and performance across Aladdin applications. As part of Aladdin Engineering, you will collaborate with colleagues across offices and countries to develop technology used by financial institutions and investment professionals worldwide. Your role and impact As a Lead Java Developer in Platform Engineering, you will develop and enhance scalable software systems, build foundational capabilities, and improve the developer experience across Aladdin. You will help shape product roadmaps, solve complex engineering problems, and support reliable applications through disciplined design, testing, and operational practices. You will work in a complex, fast-paced environment where collaboration, thoughtful analysis, clear communication, and the ability to learn and apply new concepts are important. You will also provide technical leadership for projects and contribute to an inclusive, collaborative engineering culture. Your responsibilities In every role at BlackRock, you'll be expected to apply sound judgement and critical thinking to solve complex problems, adapt as the business evolves, and combine the curiosity to explore new approaches and technologies with the rigor to challenge the results. The scope of this role also includes the following responsibilities: Collaborate across offices and countries with engineering colleagues, product management, and business partners to define product roadmaps and delivery priorities. Evolve continuous integration and continuous delivery (CI/CD) pipelines, build systems, package-management capabilities, enterprise-grade container orchestration platforms supporting declarative infrastructure and horizontal scaling, and Open Container Initiative (OCI) container image packaging and runtime while supporting operational teams through testing, code reviews, resilience practices, and level-two production support. Deliver efficient, highly available, concurrent, and fault-tolerant software systems. Design and develop innovative solutions to complex problems, identifying issues, dependencies, and potential roadblocks. Apply established software engineering practices throughout the development lifecycle, including design-focused and test-driven approaches. Promote an inclusive and collaborative culture through recruiting, management actions, and employee engagement. Lead individual projects by managing priorities, deadlines, deliverables, and technical decisions using Agile methodologies. Your experience A bachelor’s or master’s degree in computer science, engineering, or a related field, or comparable practical experience, supported by substantial software engineering experience. 8-10+ Years of Strong software development experience using core Java, object-oriented programming, design patterns, and relevant backend or frontend technologies such as Spring, TypeScript, JavaScript, Angular, React, or Python. A track record of building high-quality software using design-focused, test-driven, and Agile engineering practices, with experience using relevant open-source frameworks and development tools. Experience working with relational databases, highly available distributed non-relational data storage platforms, scalable distributed data and caching platforms, and distributed event streaming and messaging platforms. Strong analytical, problem-solving, and communication skills, with the ability to understand financial or investment-related problems and build effective relationships with partner teams, sponsors, and user groups. Experience leading software projects or development teams and taking ownership of the design and technical quality of a significant application, system, or component. Exposure to application programming interfaces, microservices, cloud platforms such as Microsoft Azure, software delivery and operations tools such as Azure DevOps, optimization or algorithms, or artificial intelligence-related products and research environments. For New York, NY Only the salary range for this position is USD$215,000.00 - USD$162,000.00 . Additionally, employees are eligible for an annual discretionary bonus, and benefits including healthcare, leave benefits, and retirement benefits. BlackRock operates a pay-for-performance compensation philosophy and your total compensation may vary based on role, location, and firm, department and individual performance. Our benefits To help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about. Our hybrid work model BlackRock’s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person – aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock. Guidance on AI use for candidates At BlackRock, AI has long been part of how we work – enhancing decision-making, improving operations, and helping us deliver better outcomes for clients. We encourage candidates to use AI thoughtfully to learn, prepare, and work more effectively; but during our interview process, we want to focus on getting to know you through your own experiences, thinking, and judgment. To support you, we’ve provided guidance on when and how to use AI during our hiring process so you can approach each step with confidence and showcase your best self. About BlackRock At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children’s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress. This mission would not be possible without our smartest investment – the one we make in our employees. It’s why we’re dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive. To learn more about BlackRock, please visit Careers.BlackRock.com . We also encourage you to get to know us on LinkedIn , Instagram , YouTube , X , and TikTok . BlackRock is proud to be an equal opportunity workplace. We are committed to equal employment opportunity to all applicants and existing employees, and we evaluate qualified applicants without regard to race, creed, color, national origin, sex (including pregnancy and gender identity/expression), sexual orientation, age, ancestry, physical or mental disability, marital status, political affiliation, religion, citizenship status, genetic information, veteran status, or any other basis protected under applicable federal, state, or local law. View the EEOC’s Know Your Rights poster and its supplement and the pay transparency statement . BlackRock is committed to full inclusion of all qualified individuals and to providing reasonable accommodations or job modifications for individuals with disabilities. If reasonable accommodation/adjustments are needed throughout the employment process, please email Disability.Assistance@blackrock.com . All requests are treated in line with our privacy policy . BlackRock will consider for employment qualified applicants with arrest or conviction records in a manner consistent with the requirements of the law, including any applicable fair chance law.

About this role Are you interested in building innovative technology that shapes the financial markets? Do you like working at the speed of a startup, but want to solve some of the world’s most complex problems? Do you want to work with, and learn from, hands-on leaders in technology and finance? At BlackRock, we are looking for Software Engineers who like to innovate and solve complex problems. We recognize that strength comes from diversity, and will embrace your unique skills, curiosity, drive, and passion while giving you the opportunity to grow technically and as an individual. With over USD $11 trillion of assets, we have an exceptional responsibility: our technology empowers millions of investors to save for retirement, pay for college, buy a home, and improve their financial wellbeing. Being a developer at BlackRock means you get the best of both worlds: working for one of the most advanced financial companies and being part of a software development team responsible for next generation technology and solutions. You are: Curious and eager to learn new things, with a healthy disrespect for the status quo Excited to learn about new technologies and strive to reach new levels of efficiencies in the platform we provide. Passionate about technology, with personal ownership for the work you do Data-focused, with an eye for the details that matter to solve the problem Proficient in using AI for day-to-day engineering work. We are: Passionate about building quality software and scaling technology to meet the needs of tomorrow Building solutions for BlackRock and over 200 institutions that rely on our technology who use our technology The team behind Aladdin Graph—enabling API‑first engineering through a schema repository, governance, and production runtime infrastructure for APIs and events. Focused on API quality and consistency at scale, using governance and review standards to help teams ship better APIs faster. Building high quality software in Java, Python and Golang using technologies like highly available distributed NoSQL data storage platforms, scalable search and indexing platforms, Redis, distributed event streaming and messaging platforms, Enterprise-grade container orchestration platform supporting declarative infrastructure and horizontal scaling, and more. Investing in developer experience: clear standards, repeatable “golden paths,” and tooling that makes onboarding and adoption easier. You have (Must have): Minimum of 3+ years software engineering work experience on large-scale software development and deployment. BS/MS in Computer Science from an accredited university (or equivalent practical experience). Strong programming skills in Java, Python, or Golang (and willingness to learn). Experience in Linux shell and comfort troubleshooting production-style issues (logs, configs, basic networking). You have (Nice to have): Experience with event messaging systems like distributed event streaming and messaging platforms and event-driven architectures. Experience with API frameworks, Google API Improvement Proposals (AIPs), and protobuf. Experience with gRPC, including defining service contracts using Protocol Buffers and implementing gRPC clients and servers. Familiarity with API governance models and review expectations that keep APIs consistent and high quality. For New York, NY Only the salary range for this position is USD$132,500.00 - USD$162,000.00 . Additionally, employees are eligible for an annual discretionary bonus, and benefits including healthcare, leave benefits, and retirement benefits. BlackRock operates a pay-for-performance compensation philosophy and your total compensation may vary based on role, location, and firm, department and individual performance. Our benefits To help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about. Our hybrid work model BlackRock’s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person – aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock. Guidance on AI use for candidates At BlackRock, AI has long been part of how we work – enhancing decision-making, improving operations, and helping us deliver better outcomes for clients. We encourage candidates to use AI thoughtfully to learn, prepare, and work more effectively; but during our interview process, we want to focus on getting to know you through your own experiences, thinking, and judgment. To support you, we’ve provided guidance on when and how to use AI during our hiring process so you can approach each step with confidence and showcase your best self. About BlackRock At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children’s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress. This mission would not be possible without our smartest investment – the one we make in our employees. It’s why we’re dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive. To learn more about BlackRock, please visit Careers.BlackRock.com . We also encourage you to get to know us on LinkedIn , Instagram , YouTube , X , and TikTok . BlackRock is proud to be an equal opportunity workplace. We are committed to equal employment opportunity to all applicants and existing employees, and we evaluate qualified applicants without regard to race, creed, color, national origin, sex (including pregnancy and gender identity/expression), sexual orientation, age, ancestry, physical or mental disability, marital status, political affiliation, religion, citizenship status, genetic information, veteran status, or any other basis protected under applicable federal, state, or local law. View the EEOC’s Know Your Rights poster and its supplement and the pay transparency statement . BlackRock is committed to full inclusion of all qualified individuals and to providing reasonable accommodations or job modifications for individuals with disabilities. If reasonable accommodation/adjustments are needed throughout the employment process, please email Disability.Assistance@blackrock.com . All requests are treated in line with our privacy policy . BlackRock will consider for employment qualified applicants with arrest or conviction records in a manner consistent with the requirements of the law, including any applicable fair chance law.

About this role About this role About Quantitative Analytics Engineering BlackRock is one of the world’s preeminent asset management firms and an outstanding provider of global investment management, risk management, and advisory services to institutional, intermediary and individual investors around the world. Besides offering a range of investment solutions — from fundamental and quantitative active management approaches to highly efficient indexing strategies – BlackRock also provides direct access to its market leading analytic models by onboarding clients to its Aladdin Platform, an end-to-end portfolio management software solution. The Investments and Trading Engineering (ITE) team builds and delivers Aladdin's industry-leading risk management, portfolio management, compliance and trading capabilities. Within ITE, Quantitative Analytics Engineering (QAE) is a global team of quantitative developers responsible for the implementation of security valuation, portfolio risk, liquidity and performance attribution models. BlackRock Portfolio managers and external Aladdin clients such as pension funds and insurance companies rely on models maintained by QAE to identify investment opportunities, build portfolios and manage risk. About the role We invite experienced professionals to join QAE India as Senior Java Developers to contribute to the development of the next-generation portfolio risk analytics and modeling engine. As part of a high-performing team, you will play a key role in transforming our portfolio risk analytics platform into a more scalable and modular architecture. Your responsibilities will include designing new modules and APIs, as well as developing application servers that offer clients innovative methods for leveraging our analytics and models. You will provide technical leadership to junior team members and engage with users and stakeholders to gather and refine external client requirements. Additionally, you will collaborate closely with quantitative researchers and product managers at BlackRock to fully understand business use cases and identify opportunities to enhance operational efficiency on the newly developed platform. We work in an integrated, agile team with a focus on quality of work validated through automated testing, and we value effective and clean code. Our analytical models are the heart of BlackRock , having them delivered in a scalable and reliable way is a cross-team effort valued by all the parties involved. About our team Portfolio Risk Engineering is an established team of QAE with presence in Gurgaon, Mumbai, Budapest, New York and San Francisco. We develop scalable, high throughput, analytical software for portfolio risk analytics. Challenging the status quo is our norm, and we excel in building modern systems and onboarding innovative technology like microservice architecture. We are pioneers of the firm and early adopters of new tools and industry standards. You’ll collaborate closely with quantitative researchers, product managers, and platform engineers to develop robust risk and optimization solutions. Our dominant programming languages are Java and Python. We are passionate about what we do and hope you are, too! Requirements You should be B.E / B.Tech / Masters in Computer Science or related field. Experienced in enterprise software development: 6+ years of hands-on Core Java experience. In-depth understanding of Java internals, memory and performance optimization and tools. Quantitative developer with practical experience working with numerical computer methods Prior experience working in investment management industry Ready to lead. Work experience where you were responsible for or owner of an application, project or component . Willingness and ability to provide tutoring and mentorship to less experienced team members. You are familiar with Java 17 Basic knowledge of calculus and linear algebra Investment management business domain Nice to know Java and Python math modelling libraries Messaging systems like MQ or Kafka Google Protocol Buffers Unix systems (Red Hat, Ubuntu ) Profiling tools ( VisualVM , JProfiler ). . Our benefits To help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about. Our hybrid work model BlackRock’s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person – aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock. Guidance on AI use for candidates At BlackRock, AI has long been part of how we work – enhancing decision-making, improving operations, and helping us deliver better outcomes for clients. We encourage candidates to use AI thoughtfully to learn, prepare, and work more effectively; but during our interview process, we want to focus on getting to know you through your own experiences, thinking, and judgment. To support you, we’ve provided guidance on when and how to use AI during our hiring process so you can approach each step with confidence and showcase your best self. About BlackRock At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children’s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress. This mission would not be possible without our smartest investment – the one we make in our employees. It’s why we’re dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive. To learn more about BlackRock, please visit Careers.BlackRock.com . We also encourage you to get to know us on LinkedIn , Instagram , YouTube , X , and TikTok . BlackRock is proud to be an Equal Opportunity Employer. We evaluate qualified applicants without regard to age, disability, family status, gender identity, race, religion, sex, sexual orientation and other protected attributes at law.

About this role About Global Fixed Income Team BlackRock’s active fixed income portfolio strategies stretch across a range of investment styles and segments of the fixed income universe. The breadth and depth of our platform puts us in a strong position to potentially deliver attractive returns in various market environments. With a focus on alpha generation and risk management, the team uses a top-down view from lead portfolio managers and bottom-up expertise from our sector specialists About the Role : We are looking to hire a an Analyst-level Software Engineer who understands the software development lifecycle very well. The individual The individual will design, develop, test, and maintain backend-focused software applications, APIs, data workflows, and analytical tools. The role will also involve working closely with business stakeholders to understand requirements and translate them into practical technical solutions. Key Responsibilities Design, develop, and maintain software components in line with functional and technical requirements Develop backend services, APIs, data-processing workflows, and automation solutions using Python. Contribute to full-stack applications, with a primary focus on backend development and limited front-end development. Work with structured and unstructured data to support analytics, reporting, and AI-enabled solutions. Partner with business stakeholders to gather requirements, document use cases, and translate business needs into technical solutions. Investigate technical and data-related issues, perform root-cause analysis, and recommend scalable solutions. Support automation efforts by contributing to test scripts and reusable validation frameworks where applicable Monitor application behaviour, analyse root causes of issues, and recommend improvements to quality and reliability Use tools such as Git and defect tracking platforms to support collaborative delivery and testing processes Required Skills Core Technical Skills Strong programming fundamentals and hands-on experience with Python and SQL are required. Knowledge of React/Java is a good to have. Understanding of software development lifecycle (SDLC) and software testing lifecycle (STLC) Knowledge of manual testing, defect tracking, and test case design Familiarity with test automation concepts and tools such as Selenium or similar frameworks Experience with version control systems and collaborative development workflows Awareness of API testing, integration testing concepts, and quality assurance best practices Understanding of REST APIs, databases, data pipelines, and application integration. Basic knowledge of React, JavaScript, TypeScript, or another front-end technology is beneficial. Familiarity with data analysis, AI, machine learning, or generative AI concepts is beneficial. Education & Qualifications 1-3 years of relevant work experience Problem-Solving Strong analytical and problem-solving skills, including root-cause analysis. Ability to gather requirements and translate business needs into technical solutions. Clear communication with technical and non-technical stakeholders. Our benefits To help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about. Our hybrid work model BlackRock’s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person – aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock. Guidance on AI use for candidates At BlackRock, AI has long been part of how we work – enhancing decision-making, improving operations, and helping us deliver better outcomes for clients. We encourage candidates to use AI thoughtfully to learn, prepare, and work more effectively; but during our interview process, we want to focus on getting to know you through your own experiences, thinking, and judgment. To support you, we’ve provided guidance on when and how to use AI during our hiring process so you can approach each step with confidence and showcase your best self. About BlackRock At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children’s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress. This mission would not be possible without our smartest investment – the one we make in our employees. It’s why we’re dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive. To learn more about BlackRock, please visit Careers.BlackRock.com . We also encourage you to get to know us on LinkedIn , Instagram , YouTube , X , and TikTok . BlackRock is proud to be an Equal Opportunity Employer. We evaluate qualified applicants without regard to age, disability, family status, gender identity, race, religion, sex, sexual orientation and other protected attributes at law.

About this role Role Brief: Are you interested in building AI systems that fundamentally transform how software is engineered in a global financial institution? Do you like working at the speed of a startup while solving highly sophisticated, enterprise-scale problems in a highly complex environment? At BlackRock, we are seeking a VP of AI Platform Engineering to lead the design and delivery of enterprise AI capabilities that power technologist enablement, and next-generation platform services. This leader will combine deep technical expertise in modern AI systems with strong engineering execution and organizational leadership. We recognize that strength comes from diversity, and will embrace your unique skills, curiosity, and passion while giving you the opportunity to grow technically and as an individual. With over USD $11 trillion of assets we have an exceptional responsibility, our technology empowers millions of investors to save for retirement, pay for college, buy a home, and improve their financial well-being. As an AI engineering leader at BlackRock, you will help define how AI is safely, securely, and effectively embedded into our engineering ecosystem at scale. About the Team: Our Platform Engineering division builds and operates the foundation system that power Aladdin and BlackRock’s enterprise technology landscape. We are leading BlackRock’s evolution toward an AI-native engineering organization. We are fundamentally reimagining how software is built, reviewed, tested, modernized, and operated through intelligent systems. The AI Platform Engineering team is not simply integrating AI into existing workflows; we are redesigning those workflows altogether. The team drives step-change improvements in developer enablement, large-scale modernization, and enterprise AI governance. We operate at the intersection of AI innovation and enterprise-grade reliability, shaping the future of engineering across thousands of developers and multiple business domains. The team defines what AI-powered engineering looks at scale inside one of the world’s most sophisticated financial technology environments. Responsibilities: Design scalable AI architecture leveraging LLMs, RAG, fine-tuning, and model optimization techniques Establish evaluation frameworks to measure model quality, hallucination control, and precision/recall trade-offs Lead the design and implementation of scalable AI platform capabilities used across the software development lifecycle Partner with product and security teams to ensure AI solutions are safe, compliant, and production‑ready Drive delivery through ambiguity by breaking down complex problems into clear plans and milestones Lead buy vs. build decisions, evaluating third‑party solutions alongside internal capabilities Identify technical risks and dependencies early, with mitigation and escalation where needed Coordinate across multiple engineering teams and time zones to deliver shared outcomes Translate complex AI capabilities into clear business values and communicate progress, trade‑offs, and risks to senior stakeholders Lead and develop a team of engineers and senior ICs, providing coaching and technical mentorship Foster a culture of ownership, accountability, and continuous improvement Support the growth of emerging leaders by delegating responsibility and increasing scope over time Requirements: Strong experience building and operating production AI systems, including LLM‑based workflows Solid understanding of modern AI practices such as prompt engineering, retrieval‑augmented generation, fine‑tuning, and evaluation Proven experience designing and delivering shared platforms or services at scale Deep technical fluency in Java and Python with hands-on experience building scalable, production-grade AI and platform services Experience designing APIs and operating services in a cloud environment Experience working with distributed Cloud environments Strong communication skills and the ability to collaborate effectively across teams Experience working in Agile development teams. Nice to Have Experience working on developer productivity or platform engineering initiatives Prior people‑management experience, including leading small to mid‑sized engineering teams Familiarity with enterprise governance, security, and risk considerations for AI systems Joining BlackRock means becoming a member of a highly esteemed organization that oversees and safeguards more than $10 trillion (USD) in assets. You will have the chance to work with advanced technologies and collaborate with outstanding engineers to influence the future of the financial industry. This role will also provide valuable exposure to risk management, valuations, and operations. BlackRock is an equal opportunity employer committed to diversity and inclusion. We embrace and value the unique skills, curiosity, and passion of individuals from all backgrounds. We strive to provide reasonable accommodations and adjustments for all qualified individuals with disabilities. If you require assistance or an accommodation during the application process, please let us know. Join us at BlackRock and be part of a team that is revolutionizing the financial industry through innovation and technology. For New York, NY Only the salary range for this position is USD$162,000.00 - USD$215,000.00 . Additionally, employees are eligible for an annual discretionary bonus, and benefits including healthcare, leave benefits, and retirement benefits. BlackRock operates a pay-for-performance compensation philosophy and your total compensation may vary based on role, location, and firm, department and individual performance. Our benefits To help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about. Our hybrid work model BlackRock’s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person – aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock. Guidance on AI use for candidates At BlackRock, AI has long been part of how we work – enhancing decision-making, improving operations, and helping us deliver better outcomes for clients. We encourage candidates to use AI thoughtfully to learn, prepare, and work more effectively; but during our interview process, we want to focus on getting to know you through your own experiences, thinking, and judgment. To support you, we’ve provided guidance on when and how to use AI during our hiring process so you can approach each step with confidence and showcase your best self. About BlackRock At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children’s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress. This mission would not be possible without our smartest investment – the one we make in our employees. It’s why we’re dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive. To learn more about BlackRock, please visit Careers.BlackRock.com . We also encourage you to get to know us on LinkedIn , Instagram , YouTube , X , and TikTok . BlackRock is proud to be an equal opportunity workplace. We are committed to equal employment opportunity to all applicants and existing employees, and we evaluate qualified applicants without regard to race, creed, color, national origin, sex (including pregnancy and gender identity/expression), sexual orientation, age, ancestry, physical or mental disability, marital status, political affiliation, religion, citizenship status, genetic information, veteran status, or any other basis protected under applicable federal, state, or local law. View the EEOC’s Know Your Rights poster and its supplement and the pay transparency statement . BlackRock is committed to full inclusion of all qualified individuals and to providing reasonable accommodations or job modifications for individuals with disabilities. If reasonable accommodation/adjustments are needed throughout the employment process, please email Disability.Assistance@blackrock.com . All requests are treated in line with our privacy policy . BlackRock will consider for employment qualified applicants with arrest or conviction records in a manner consistent with the requirements of the law, including any applicable fair chance law.

About this role As a member of BlackRock's Cyber Architecture and Engineering organization, the Director, AI and Security Architecture will define and advance security strategy for AI-enabled systems across internal enterprise platforms and client-facing products. The scope includes LLM-powered applications, agent-based workflows, retrieval-augmented generation (RAG) pipelines, tool-driven integrations, and distributed cloud-native platforms. The role combines deep technical expertise with cross-functional leadership. The Director will lead security architecture and risk decisions for strategic AI initiatives, establish scalable guardrails and secure development patterns, and partner with AI platform, product, engineering, architecture, and security leaders to identify risks early, drive remediation, and improve secure-by-default outcomes. Director-level technical leadership role responsible for shaping AI security strategy, security architecture, standards, and secure-by-design practices across AI platforms, products, and emerging agentic systems. Responsibilities Define and drive the AI security and security architecture roadmap across enterprise platforms and client-facing products. Establish firmwide security standards, reference patterns, guardrails, and governance requirements for AI systems, agentic workflows, and emerging AI technologies. Lead security architecture reviews, threat modeling, and risk assessments for strategic and high-risk AI initiatives. Drive security outcomes for LLM applications, RAG pipelines, agent workflows, model integrations, and tool ecosystems. Identify and drive remediation of risks including prompt injection, jailbreaks, unsafe tool usage, data exposure, insecure execution paths, and excessive agent permissions. Lead the security architecture strategy for AI-enabled systems and influence architectural decisions across engineering organizations and strategic platforms. Design and scale AI security guardrails, enforcement mechanisms, custom security tooling, and automated tests integrated into CI/CD and engineering workflows. Serve as the senior security partner to AI platform, product, engineering, architecture, and security leadership. Drive adoption of secure AI development and deployment practices across multiple engineering organizations. Lead complex technical investigations and response strategies involving AI-specific security risks and emerging threat vectors. Contribute to firmwide technology and security strategy, and represent AI and security architecture in executive, architecture, and governance forums. Mentor security engineers and strengthen technical capability across product security and adjacent engineering teams. Requirements 10+ years of experience in software engineering, product security, application security, cloud security, platform engineering, or security architecture. Demonstrated experience leading large-scale security initiatives across multiple teams and organizational boundaries. Deep technical understanding of distributed, cloud-native platforms and modern software delivery practices. Demonstrated ability to write code or scripts to support security testing, tooling, automation, and technical analysis. Proven ability to define technical strategy, architecture standards, and scalable security operating models in complex enterprise environments. Strong experience with security architecture, threat modeling, secure design reviews, and practical risk reduction. Proven ability to influence senior engineering, architecture, product, and business leaders without direct authority. Ability to analyze complex systems and communicate technical risk, tradeoffs, and recommendations clearly and pragmatically to both technical and executive audiences. Preferred Experience Experience building or securing enterprise AI/ML platforms and AI-enabled applications at scale. Experience with LLM applications, agent-based workflows, RAG pipelines, AI orchestration platforms, MCP integrations, or tool/plugin architectures. Deep familiarity with AI security risks including prompt injection, jailbreaks, tool misuse, data leakage, model supply-chain risk, and insecure agent behavior. Experience defining AI governance requirements, guardrails, secure deployment patterns, and control frameworks. Experience building security automation, policy enforcement, or CI/CD-integrated testing frameworks. Background spanning product security, application security, platform security, cloud security, and/or AI systems engineering. Experience leading security programs in highly regulated or large-scale enterprise environments. Cloud experience across Azure, AWS, or GCP. For New York, NY Only the salary range for this position is USD$215,000.00 - USD$275,000.00 . Additionally, employees are eligible for an annual discretionary bonus, and benefits including healthcare, leave benefits, and retirement benefits. BlackRock operates a pay-for-performance compensation philosophy and your total compensation may vary based on role, location, and firm, department and individual performance. For XDE-Regional - Delaware Only the salary range for this position is USD$186,500.00 - USD$232,500.00 . Additionally, employees are eligible for an annual discretionary bonus, and benefits including healthcare, leave benefits, and retirement benefits. BlackRock operates a pay-for-performance compensation philosophy and your total compensation may vary based on role, location, and firm, department and individual performance. Our benefits To help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about. Our hybrid work model BlackRock’s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person – aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock. Guidance on AI use for candidates At BlackRock, AI has long been part of how we work – enhancing decision-making, improving operations, and helping us deliver better outcomes for clients. We encourage candidates to use AI thoughtfully to learn, prepare, and work more effectively; but during our interview process, we want to focus on getting to know you through your own experiences, thinking, and judgment. To support you, we’ve provided guidance on when and how to use AI during our hiring process so you can approach each step with confidence and showcase your best self. About BlackRock At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children’s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress. This mission would not be possible without our smartest investment – the one we make in our employees. It’s why we’re dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive. To learn more about BlackRock, please visit Careers.BlackRock.com . We also encourage you to get to know us on LinkedIn , Instagram , YouTube , X , and TikTok . BlackRock is proud to be an equal opportunity workplace. We are committed to equal employment opportunity to all applicants and existing employees, and we evaluate qualified applicants without regard to race, creed, color, national origin, sex (including pregnancy and gender identity/expression), sexual orientation, age, ancestry, physical or mental disability, marital status, political affiliation, religion, citizenship status, genetic information, veteran status, or any other basis protected under applicable federal, state, or local law. View the EEOC’s Know Your Rights poster and its supplement and the pay transparency statement . BlackRock is committed to full inclusion of all qualified individuals and to providing reasonable accommodations or job modifications for individuals with disabilities. If reasonable accommodation/adjustments are needed throughout the employment process, please email Disability.Assistance@blackrock.com . All requests are treated in line with our privacy policy . BlackRock will consider for employment qualified applicants with arrest or conviction records in a manner consistent with the requirements of the law, including any applicable fair chance law.