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About the Team The Multimodal team is transforming how ServiceNow understands multimodal content, including documents, images, and videos, by bringing the latest advances in AI into enterprise workflows. We build and own the platform services and products that power use cases across document extraction, visual understanding, and agentic automation. Our team includes ML engineers and applied researchers who are passionate about turning cutting-edge research into reliable products that deliver real customer impact. Job Description The Machine Learning Engineer designs, builds, deploys, and operates the services behind ServiceNow's multimodal AI capabilities, helping the platform understand documents, images, and videos. The Engineer works on the platform services and products that bring LLMs into reliable, scalable enterprise features. This role needs someone who cares deeply about building production-ready ML services: designing clean APIs and pipelines, deploying and scaling services on Kubernetes, and keeping them fast, observable, and resilient. The Engineer owns the quality and correctness of what ships, whether the code was written by a human or with the help of AI coding agents. What you get to do: Build scalable ML services. Design, develop, and improve services and pipelines for document extraction, visual understanding, and agentic automation, integrating LLMs into production systems. Deploy and operate on Kubernetes. Containerize, deploy, and scale services on Kubernetes, and contribute to CI/CD, observability, and alerting that keep them reliable. Own quality and reliability in production. Write clean, tested code, build automated tests, monitor service health, and help investigate and resolve customer-facing issues such as performance limits and quality gaps. Build product features end to end. Turn product requirements into well-designed features, from API design and data handling to performance tuning and release. Collaborate across teams. Partner with product managers, engineers, designers and consuming product teams to define success criteria, understand tradeoffs, and communicate capabilities and limitations clearly. Qualifications Master's degree in Computer Science, Machine Learning, or a related technical field, with 1 to 3 years of related experience. Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI's potential impact on the function or industry. Software engineering fundamentals. Strong command of data structures, algorithms, system design, APIs, concurrency, and testing. Java or JavaScript experience is a bonus. Hands-on experience with Docker and Kubernetes ML foundations. Solid understanding of machine learning fundamentals and how LLMs and vision-language models are integrated into applications. Computer vision and model evaluation. Understanding computer vision techniques and the ability to evaluate model quality independently, including designing test sets and choosing the right metrics. Production mindset. Experience building, deploying, and operating services, with attention to scalability, observability, and reliability. Hands-on multimodal experience. Projects, research, or work involving document understanding or multimodal models is a strong plus. AI-native approach. Curiosity and a track record of using AI tools to improve engineering workflows. Growth mindset. Eagerness to learn, take ownership, and grow in a collaborative team. For positions in this location, we offer a base pay of $139,700 - $158,900, plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs. Compensation is based on the geographic location in which the role is located and is subject to change based on work location. Work Personas We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here . To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service. Equal Opportunity Employer ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, gender identity, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements. Accommodations We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact globaltalentss@servicenow.com for assistance. Export Control Regulations For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities. From Fortune. ©2026 Fortune Media IP Limited. All rights reserved. Used under license.

About the Team The engineering organization is a dynamic group of builders, thinkers, and problem-solvers dedicated to delivering scalable, AI-powered software products that elevate how organizations work. We value clean architecture, intuitive user experiences, and a culture of continuous improvement. Every engineer here plays a key role in shaping the quality and reliability of our products. What you get to do in this role: Design and develop scalable, maintainable, and reusable software components with a strong emphasis on performance and reliability. Collaborate with product managers to translate requirements into well-architected solutions, owning features from design through delivery Build intuitive and extensible user experiences using modern UI frameworks, ensuring flexibility for customer-specific needs. Contribute to the design and implementation of new products and features while enhancing existing product capabilities. Integrate automated testing into development workflows to ensure consistent quality across releases. Participate in design and code reviews ensuring best practices in performance, maintainability, and testability. Develop comprehensive test strategies covering functional, regression, integration and performance aspects Foster a culture of continuous learning and improvement by sharing best practices in engineering and quality Promote a culture of engineering craftsmanship, knowledge-sharing, and thoughtful quality practices across the team. To be successful in this role you have: Experience in leveraging critical thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI’s potential impact on the function or industry. 6+ years of experience in software engineering, with a track record of delivering high-quality products. Proficiency in Python, Java, or similar object-oriented languages. Experience with modern front-end frameworks such as Angular, React, or Vue. Strong knowledge of data structures, algorithms, object-oriented design, design patterns, and performance optimization Familiarity with automated testing frameworks (e.g., JUnit, Selenium, TestNG) and integrating tests into CI/CD pipelines Understanding software quality principles including reliability, observability, and production readiness. Ability to troubleshoot complex systems and optimize performance across the stack. Experience with AI-powered tools or workflows, including validation of datasets, model predictions, and inference consistency. Comfort with development tools such as IDEs, debuggers, profilers, source control, and Unix-based systems Why Join Us Build and deliver high-impact software that powers digital experiences for millions of users. Collaborate in a culture that values craftsmanship, quality, and innovation. Work symbiotically with AI and automation tools that enhance engineering excellence and drive product reliability. Be part of a culture that encourages innovation, continuous learning, and shared success. Work Personas We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here . To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service. Equal Opportunity Employer ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, gender identity, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements. Accommodations We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact globaltalentss@servicenow.com for assistance. Export Control Regulations For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities. From Fortune. ©2026 Fortune Media IP Limited. All rights reserved. Used under license.

What you get to do in this role Design and develop scalable, reliable and maintainable software across the stack. Partner with product managers to translate requirements into well-architected solutions and own features end-to-end. Build intuitive, extensible experiences using modern UI frameworks such as React, Angular or Vue. Design and deliver new products and features while enhancing existing capabilities. Embed automated testing and quality practices across functional, integration, regression and performance testing. Participate in design and code reviews, championing engineering best practices, performance and maintainability. Troubleshoot complex systems, optimise performance and strengthen reliability, observability and production readiness. Share knowledge and best practices to foster a culture of engineering excellence and continuous improvement. To be successful in this role, you have: Experience in leveraging critical thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI’s potential impact on the function or industry. 6+ years of software engineering experience delivering high-quality products. Proficiency in JavaScript, Python, Java or similar object-oriented languages. Experience with modern front-end frameworks, such as React, Angular or Vue. Strong foundations in data structures, algorithms, object-oriented design and design patterns. Experience with automated testing and CI/CD pipelines. Experience using AI-powered tools or workflows, including validating datasets, model outputs or inference consistency. Strong problem-solving skills and the ability to optimise performance across the stack. Familiarity with modern development tools, including IDEs, debuggers, profilers, source control and Unix-based systems. A demonstrated ability to apply critical thinking when using AI to improve workflows, decision-making and problem-solving. Why Join Impact Engineering Build high-impact software that powers digital experiences for millions of users. Work alongside talented engineers in a culture of craftsmanship, quality and innovation. Leverage AI and automation to enhance engineering excellence and product reliability. Grow through continuous learning, knowledge-sharing and meaningful technical challenges. NOTE Australian citizenship and the ability to obtain and maintain an Australian Government Baseline Security Clearance are mandatory requirements for this role. Candidates must currently reside in Australia and, if offered employment, be willing to undergo and successfully complete the required security clearance assessment and adjudication process. Work Personas We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here . To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service. Equal Opportunity Employer ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, gender identity, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements. Accommodations We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact globaltalentss@servicenow.com for assistance. Export Control Regulations For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities. From Fortune. ©2026 Fortune Media IP Limited. All rights reserved. Used under license.

We're looking for a Staff Full Stack Developer to help build and scale our AI-powered tools for application development. You'll work at the intersection of UI, backend, and AI-driven engineering — architecting solutions that improve developer experience, expand platform capabilities, and drive engineering excellence across the team. What you'll do: Design and implement AI-powered tools for application development, using cutting-edge technical approaches to deliver business value Architect and build core web technology stacks — authentication, event tracking, application platform, and design systems Drive architecture and engineering standards at the team and division level, promoting best practices for building modular, scalable web apps and APIs Design, develop, and maintain microservices-based applications on Kubernetes, improving scalability, reliability, and deployment speed Work closely with product, ML, and engineering teams to enhance developer experience, close technology gaps with creative solutions, and increase customer adoption Expand the product's reach to more customers, domains, and global markets while maintaining high engineering quality Integrate AI into engineering workflows and decision-making — using AI-powered tools, automating processes, and applying AI-driven insights to improve how the team builds and ships software Operate at a startup pace with a high degree of total ownership, even within a larger organization 10+ years of software engineering experience building scalable, high-quality applications Expertise in Java, JavaScript and modern UI frameworks — React, Angular, or Lit (required) Hands-on proficiency using AI tools (e.g., Copilot, Claude, or similar) in day-to-day development work is a must Strong command of UI design principles, usability, cross-browser compatibility, and accessibility standards Experience with REST, JSON, AJAX, and relational databases Experience with event-driven and stateless architectures, functional programming, and abstract data types (ADTs) Demonstrated experience driving architecture and engineering standards at a team or division level Strong critical thinking and a track record of integrating AI into engineering processes, workflows, or decision-making Excellent cross-functional collaboration skills and strong product sense BS or higher in Computer Science or a related field, or equivalent practical experience A constant thirst for learning and willingness to work outside your comfort zone Backend development experience with Java is an added advantage ServiceNow platform certification and/or development experience is a strong added advantage Work Personas We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here . To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service. Equal Opportunity Employer ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, gender identity, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements. Accommodations We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact globaltalentss@servicenow.com for assistance. Export Control Regulations For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities. From Fortune. ©2026 Fortune Media IP Limited. All rights reserved. Used under license.

What you do in this role: Responsible for vulnerability management and security automation across the Moveworks AI cloud infrastructure and developer platform Closely work with platform, machine learning, search, data, and frontend teams to understand their security and infrastructure needs, and execute on DevSecOps roadmap initiatives Triage and drive remediation of findings from SAST, dependency, and container vulnerability scans across multi-cloud infrastructure, including AWS and Azure environments Implement and tune policy-as-code guardrails for Kubernetes and infrastructure-as-code, closing gaps identified through audits and scans Support secrets management operations, identity federation (IRSA on AWS, Managed Identity/Workload Identity on Azure), and least-privilege access patterns across the environment Build and manage CI/CD pipeline security controls (artifact signing, build provenance, dependency pinning) as part of the broader infrastructure-as-code and automation stack Support replatformization efforts extending infrastructure and security controls to Azure and other hyperscaler environments, including AKS cluster security posture Work closely with the security team on compliance automation, evidence collection, and audit readiness as ServiceNow's controls are adopted To be successful in this role you have: Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI's potential impact on the function or industry. 3-5 years of experience in DevOps, Platform, or Security Engineering Hands-on technical contributor with a strong sense of ownership, able to work through vulnerability findings and remediation from triage to closure Working knowledge of AWS infrastructure, including IAM roles, security groups, and core networking (VPC, DNS) Working knowledge of, or strong interest in, Azure infrastructure and security services (Azure AD/Entra ID, Azure Key Vault, Network Security Groups, Azure Policy, Microsoft Defender for Cloud) Experience with vulnerability scanning and security tooling: SAST, container/image scanning, dependency scanning, SBOM generation, across AWS and/or Azure Experience with Kubernetes cluster fundamentals and workload security; exposure to both EKS and AKS is a plus Working knowledge of secrets management, encryption, certificate management, and related security practices across cloud providers Comfortability with tools such as Terraform, Vault, OPA/Kyverno, Jenkins, ArgoCD/Flux, Helm Scripting proficiency in Python, Bash, or Go for automating repetitive security and operations tasks An appetite for working at a startup pace on challenging problems with a high degree of ownership Work Personas We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here . To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service. Equal Opportunity Employer ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, gender identity, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements. Accommodations We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact globaltalentss@servicenow.com for assistance. Export Control Regulations For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities. From Fortune. ©2026 Fortune Media IP Limited. All rights reserved. Used under license.

What you get to do in this role: Platform Architecture & Strategy — Define and own the long-term architecture of a server-rendered web component platform that powers AI-native user experiences across the product. You'll make the key decisions on rendering, component runtime, design systems, and streaming UX for AI-generated content, and keep the experience layer resilient and coherent as the platform scales. Rendering & Performance — Own end-to-end experience performance: server-side rendering, streaming HTML, hydration correctness, and time-to-interactive. Push the state of the art in server rendering of web components so experiences are fast, deterministic, and consistent between server and client. AI-Native Intelligent Experiences — Build the platform primitives product teams use to expose agentic backends to end users, including recommendations, autonomous triage, generated insights, and multi-step agent reasoning. Own the hard UX problems specific to AI-native products: streaming model output, progressive disclosure of agent reasoning, graceful handling of latency and uncertainty, and human-in-the-loop review flows that make autonomous behavior legible and controllable. Secure, Scalable Runtime — Design how the platform runs in production on Kubernetes: sandboxed execution of application code, multi-tenant isolation, secure credential and token propagation, memory and resource budgeting, version-tiered rollouts, and observability for a large Node.js fleet under real traffic. Developer Platform & Ecosystem — Shape the component model, data-loading and context APIs, design system, tooling, and guardrails that let many teams build applications on the platform. Make the right path the easy path. Agentic Pipeline Awareness — Work closely with ML and platform teams building agent orchestration and tool-calling infrastructure (multi-agent dispatch, MCP-style tool integration, reasoning traceability). Translate what those backends can do into UX patterns that are usable, safe, and trustworthy. Business Alignment — Tie platform and experience architecture to business goals, so that engineering velocity, experience quality, and adoption of AI-native features support customer acquisition, retention, and time-to-market. Hands-on Engineering — Write high-performance, production-grade code across the experience stack (TypeScript, Lit.js / Web Components, Node.js, modern build tooling) and the runtime stack (Kubernetes, containerized services). Debug the hardest problems yourself, from hydration mismatches to memory leaks to intermittent production failures. Cross-functional Execution — Drive business-critical platform outcomes together with ML, backend platform, SRE, security, UX, and product teams. Engineering Culture — Mentor senior and staff engineers, lead architecture reviews, raise the bar on testing and reliability, and build a culture of rapid, impact-driven innovation. Ownership & Initiative — Spot platform and experience gaps before they become problems, propose solutions, align stakeholders, and own execution. To be successful in this role you have: 15+ years of software engineering experience, focused in frontend or web platform engineering at a high-growth tech company or top-tier AI lab. Deep expertise in web platform internals: Web Components and Shadow DOM, server-side rendering and hydration, streaming, module loading, and browser performance. Production experience with Lit.js, React, or comparable frameworks, and a clear view of the tradeoffs between them. Strong server-side JavaScript/TypeScript engineering skills: Node.js, HTTP/2, proxies and streaming, V8 memory behavior, and isolate or worker-based execution models. Hands-on experience running latency-sensitive services on Kubernetes, including resource management, rollout strategies, Helm, and production observability. Strong web security fundamentals: session and token handling, egress control, sandboxing of untrusted code, and trust boundaries in multi-tenant systems. Has shipped intelligent, AI-driven user experiences (not just consumed an LLM API), with strong intuition for how agent and model output should surface to real users. Hands-on experience with agentic or multi-agent systems from the consumer side. Understands agent orchestration, tool-calling protocols (MCP or equivalent), and reasoning traceability well enough to design UX and platform primitives around them. Experience designing frameworks, SDKs, or design systems adopted by many teams, including versioning, backward compatibility, and migration strategy. A track record of connecting platform and UX decisions to business outcomes such as adoption, retention, and time-to-market, not just technical metrics. Self-driven with strong ownership: able to identify gaps, propose solutions, align stakeholders, and execute at startup pace. Good to Have Prior experience in distributed systems performance and scalability, or in large-scale Node.js fleet operations. Open-source contributions to major web frameworks, SSR tooling, build systems, design systems, or agent-framework projects. Experience with enterprise SaaS platforms and their extensibility and customization models. Prior startup experience working closely with Product and Growth teams in an early-stage environment. Work Personas We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here . To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service. Equal Opportunity Employer ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, gender identity, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements. Accommodations We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact globaltalentss@servicenow.com for assistance. Export Control Regulations For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities. From Fortune. ©2026 Fortune Media IP Limited. All rights reserved. Used under license.

We are the AI Experience Framework (AIUX) team that builds the platform that powers ServiceNow's AI-first user interfaces. Using modern Lit-based web components, AIUX builds modular, reusable conversational experiences that serve as the technical foundation for conversation-first applications like Employee Slate. This role owns full-stack architectural decisions in a modern JavaScript/component-driven environment, working across AI integration, performance scale, and multi-team coordination — spanning our SSR runtime (server-rendered Lit components, versioned request routing, isolated execution pools) and the ServiceNow Glide platform layer it integrates with. What you get to do in this role: Build high-quality, clean, scalable and reusable code by enforcing best practices around software engineering architecture and processes (Code Reviews, Unit testing, etc.) Work with the product owners to understand detailed requirements and own your code from design, implementation, test automation and delivery of high-quality product to our users. Design software that is simple to use to allow customers to extend and customize the functionality to meet their specific needs Help design and implement new products and features while also enhancing the existing product suite To be successful in this role you have: Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI's potential impact on the function or industry. 2+ years of experience with Java or a similar OO language Passion for JavaScript and the Web as a platform, reusability, and componentization Experience with data structures, algorithms, object-oriented design, design patterns, and performance/scale considerations Experience with any of the modern UI frameworks like Angular, React or Vue Analytical and design skills Working knowledge and ability to use tools to assist with daily tasks (IDE, debugger, build tools, source control, ServiceNow instances, profilers, system administration/Unix tools) Work Personas We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here . To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service. Equal Opportunity Employer ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, gender identity, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements. Accommodations We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact globaltalentss@servicenow.com for assistance. Export Control Regulations For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities. From Fortune. ©2026 Fortune Media IP Limited. All rights reserved. Used under license.

The Access AI team is the customer-obsessed engineering group building the agentic AI and enterprise-scale harness platform that powers agents for Access Management across all Identity Security Products. We build AI as foundational platform infrastructure — prioritizing robustness, performance, safety, and real-world customer impact at scale. Types of problems you’ll get to work on You will architect, build, and operate production-grade agentic AI systems—autonomous agents that reason over enterprise data and execute mission-critical identity security actions at Fortune 500 scale. As a tier-one technical leader at the intersection of Agent research and large-scale backend systems, you will shape the architectural patterns, scalability guardrails, and strategic vision for autonomous enterprise security. Your core focus areas: Agentic architecture. Design and ship multi-agent systems — orchestration, tool use, planning loops, memory, and failure recovery — that operate reliably in production, not in notebooks. Enterprise-grounded reasoning. Build agents that leverage Access Graph, Access Reviews, and permission and risk data — to make decisions with context no frontier model has on its own. Trust, safety, and governance. Own the guardrails: observability, human-in-the-loop controls, and compliance infrastructure that make autonomous systems safe to deploy at scale. Retrieval and grounding. Work closely with our different product teams, platform and graph teams to ensure agents are grounded in accurate, low-latency retrieval — RAG pipelines, semantic search, re-ranking, and evaluation — as a critical dependency of agentic quality. Model integration and evaluation. Integrate frontier models, evaluate trade-offs across cost, latency, and capability for production use cases. Engineering leadership. Raise the technical bar through architecture decisions, code reviews, and coaching — particularly on agentic design patterns and production AI discipline. Qualifications To be successful in this role you have: 8+ years of software engineering with strong fundamentals in data structures, algorithms, and distributed systems. Hands-on depth designing, shipping, and operating agentic systems in production — multi-agent orchestration, tool calling, planning loops, memory, and failure recovery. Not prototypes. Production-grade Python. Systems language (Go, Java, or C++) is a plus. Working experience with frontier AI SDKs (Anthropic, Google, or OpenAI) — prompt engineering, structured outputs, and model evaluation in production settings. Familiarity with RAG and retrieval patterns in production — vector stores, hybrid search, and retrieval evaluation metrics. Track record of technical leadership: architecture ownership, code quality bar-raising, and mentoring engineers on production AI practices. Nice to Have Deeper specialization in search and retrieval at scale or MLOps/model observability. Published work or open-source contributions in agentic systems or retrieval. Exposure to LLM fine-tuning or inference optimization in production. Why join us Intelligence is commoditizing. Context and execution are not. With over 30 billion access permissions under management, global enterprises in Fortune 500 trust Veza to manage privileged access monitoring, non-human identity security, access entitlement management, and next-generation identity governance, we are building the system that makes AI actually work inside the enterprise to secure Enterprises. Redefining Agentic Identity Governance: Agentic Search: Provides natural language, context-aware discovery capabilities across complex permission graphs, enabling rapid identification of access risks and opportunities. Agentic Access Reviews: Streamlines certification processes by using autonomous agents to analyze risk and suggest remediation, significantly reducing reviewer fatigue and preventing rubber-stamping by automating User Access Reviews. Agentic LCM: Orchestrates end-to-end lifecycle management workflows, from provisioning to de-provisioning, using intelligent agents to ensure consistency and compliance. Agentic Risk insights: Leverages AI to continuously analyze access patterns, surfacing risks before they escalate. Agentic NHI and Agent Security: Monitors and secures non-human identities and AI agents by auditing their permissions, ownership and resources. Autonomous Enterprise: Self-driving access management grounded on identity and permission data from different sources — context no frontier lab can replicate, For positions in this location, we offer a base pay of $171,900 - $300,800 , plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs. Compensation is based on the geographic location in which the role is located and is subject to change based on work location. Work Personas We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here . To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service. Equal Opportunity Employer ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, gender identity, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements. Accommodations We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact globaltalentss@servicenow.com for assistance. Export Control Regulations For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities. From Fortune. ©2026 Fortune Media IP Limited. All rights reserved. Used under license.