Careers at Vizient

When you’re the best, we’re the best. We instill an environment where employees feel engaged, satisfied and able to contribute their unique skills and talents while living and working as their authentic selves . We provide extensive opportunities for personal and professional development, building both employee competence and organizational capability to fuel exceptional performance through an inclusive environment both now and in the future. Summary: In this role, you will develop, implement, and support enterprise integration solutions that enable Vizient's eCommerce and business application ecosystem. You will build and maintain integrations using Boomi AtomSphere across EDI, API, and application integration patterns, connecting trading partners, ERP platforms, Procure-to-Pay solutions, and Vizient applications. You will design and develop data transformations, integration processes, APIs, and connectivity solutions using technologies such as X12 EDI, XML, JSON, flat files, REST APIs, SOAP services, AS2, and SFTP. You will partner with business stakeholders, technical teams, software vendors, and trading partners to deliver reliable, scalable integration solutions while supporting modernization efforts through automation, monitoring, reusable integration patterns, and emerging integration capabilities Responsibilities: · Design, develop, test, deploy, and support EDI, API, and enterprise integrations using Boomi AtomSphere. · Develop and maintain Boomi processes, maps, data transformations, workflows, and integration components. · Design integration solutions supporting X12 EDI, XML, JSON, flat-file, API, and application integration requirements. · Translate business, technical, and trading partner requirements into scalable integration solutions. · Develop data transformation and orchestration processes that validate, route, enrich, and deliver data across multiple systems. · Support onboarding and implementation of new trading partners, including requirements gathering, mapping, testing, connectivity, and production deployment. · Establish and maintain secure connectivity solutions using AS2, SFTP, APIs, web services, and related technologies. · Design, consume, and support REST and SOAP API integrations across internal and external platforms. · Troubleshoot and resolve complex integration issues involving mapping, connectivity, data quality, APIs, and transaction processing. · Develop reusable integration frameworks, templates, and patterns that improve scalability, consistency, and maintainability. · Support integration monitoring, logging, exception handling, observability, and operational support processes. · Collaborate with business teams, developers, architects, vendors, and customers to implement effective integration solutions. · Evaluate and leverage automation and AI-assisted development capabilities to improve productivity, testing, troubleshooting, and documentation. · Participate in Tier 2 support activities and on-call rotations supporting Vizient's eCommerce Exchange environment. Qualifications: · Relevant bachelor's degree Computer Science, Information Systems, Engineering, or a related field preferred. · 5 or more years of experience developing, implementing, and supporting EDI, API, and enterprise integration solutions required. · 2+ years hands-on experience developing, configuring, deploying, and supporting integrations using Boomi AtomSphere required. · Experience developing Boomi maps and processes supporting X12 EDI, XML, JSON, flat-file, API, and application integrations required. · Strong experience with data mapping, transformation, validation, routing, orchestration, and exception handling required. · Solid understanding of EDI transaction processing, trading partner onboarding, acknowledgments, envelopes, and transaction lifecycle management required. · Experience working with structured and semi-structured data formats including X12 EDI, XML, JSON, and flat files required. · Experience implementing and supporting secure communication protocols such as AS2 and SFTP required. · Experience designing, consuming, implementing, or supporting REST and SOAP web services required. · Strong troubleshooting skills across integrations, applications, APIs, and external trading partner environments preferred. · Experience using scripting languages such as JavaScript, Groovy, or similar technologies within integration environments preferred. · Strong analytical, problem-solving, communication, documentation, and collaboration skills. · Ability to independently manage integration projects from requirements through deployment and support. · Experience supporting production environments and resolving integration incidents in complex enterprise ecosystems. · This position is a hybrid, based in our Dallas (Irving, TX) office; 3 days / week in office, 2 days can be virtual. #LI-KS1 Estimated Hiring Range: This position is also incentive eligible. Vizient has a comprehensive benefits plan! Please view our benefits here: http://www.vizientinc.com/about-us/careers Equal Opportunity Employer: Females/Minorities/Veterans/Individuals with Disabilities The Company is committed to equal employment opportunity to all employees and applicants without regard to race, religion, color, gender identity, ethnicity, age, national origin, sexual orientation, disability status, veteran status or any other category protected by applicable law.

When you’re the best, we’re the best. We instill an environment where employees feel engaged, satisfied and able to contribute their unique skills and talents while living and working as their authentic selves . We provide extensive opportunities for personal and professional development, building both employee competence and organizational capability to fuel exceptional performance through an inclusive environment both now and in the future. Summary: In this role, you will develop, implement, and support enterprise integration solutions that enable Vizient's eCommerce and business application ecosystem. You will build and maintain integrations using Boomi AtomSphere across EDI, API, and application integration patterns, connecting trading partners, ERP platforms, Procure-to-Pay solutions, and Vizient applications. You will design and develop data transformations, integration processes, APIs, and connectivity solutions using technologies such as X12 EDI, XML, JSON, flat files, REST APIs, SOAP services, AS2, and SFTP. You will partner with business stakeholders, technical teams, software vendors, and trading partners to deliver reliable, scalable integration solutions while supporting modernization efforts through automation, monitoring, reusable integration patterns, and emerging integration capabilities Responsibilities: · Design, develop, test, deploy, and support EDI, API, and enterprise integrations using Boomi AtomSphere. · Develop and maintain Boomi processes, maps, data transformations, workflows, and integration components. · Design integration solutions supporting X12 EDI, XML, JSON, flat-file, API, and application integration requirements. · Translate business, technical, and trading partner requirements into scalable integration solutions. · Develop data transformation and orchestration processes that validate, route, enrich, and deliver data across multiple systems. · Support onboarding and implementation of new trading partners, including requirements gathering, mapping, testing, connectivity, and production deployment. · Establish and maintain secure connectivity solutions using AS2, SFTP, APIs, web services, and related technologies. · Design, consume, and support REST and SOAP API integrations across internal and external platforms. · Troubleshoot and resolve complex integration issues involving mapping, connectivity, data quality, APIs, and transaction processing. · Develop reusable integration frameworks, templates, and patterns that improve scalability, consistency, and maintainability. · Support integration monitoring, logging, exception handling, observability, and operational support processes. · Collaborate with business teams, developers, architects, vendors, and customers to implement effective integration solutions. · Evaluate and leverage automation and AI-assisted development capabilities to improve productivity, testing, troubleshooting, and documentation. · Participate in Tier 2 support activities and on-call rotations supporting Vizient's eCommerce Exchange environment. Qualifications: · Relevant bachelor's degree Computer Science, Information Systems, Engineering, or a related field preferred. · 5 or more years of experience developing, implementing, and supporting EDI, API, and enterprise integration solutions required. · 2+ years hands-on experience developing, configuring, deploying, and supporting integrations using Boomi AtomSphere required. · Experience developing Boomi maps and processes supporting X12 EDI, XML, JSON, flat-file, API, and application integrations required. · Strong experience with data mapping, transformation, validation, routing, orchestration, and exception handling required. · Solid understanding of EDI transaction processing, trading partner onboarding, acknowledgments, envelopes, and transaction lifecycle management required. · Experience working with structured and semi-structured data formats including X12 EDI, XML, JSON, and flat files required. · Experience implementing and supporting secure communication protocols such as AS2 and SFTP required. · Experience designing, consuming, implementing, or supporting REST and SOAP web services required. · Strong troubleshooting skills across integrations, applications, APIs, and external trading partner environments preferred. · Experience using scripting languages such as JavaScript, Groovy, or similar technologies within integration environments preferred. · Strong analytical, problem-solving, communication, documentation, and collaboration skills. · Ability to independently manage integration projects from requirements through deployment and support. · Experience supporting production environments and resolving integration incidents in complex enterprise ecosystems. · This position is a hybrid, based in our Dallas (Irving, TX) office; 3 days / week in office, 2 days can be virtual. #LI-KS1 Estimated Hiring Range: This position is also incentive eligible. Vizient has a comprehensive benefits plan! Please view our benefits here: http://www.vizientinc.com/about-us/careers Equal Opportunity Employer: Females/Minorities/Veterans/Individuals with Disabilities The Company is committed to equal employment opportunity to all employees and applicants without regard to race, religion, color, gender identity, ethnicity, age, national origin, sexual orientation, disability status, veteran status or any other category protected by applicable law.

When you’re the best, we’re the best. We instill an environment where employees feel engaged, satisfied and able to contribute their unique skills and talents while living and working as their authentic selves . We provide extensive opportunities for personal and professional development, building both employee competence and organizational capability to fuel exceptional performance through an inclusive environment both now and in the future. Summary: In this role, you will design, build, and scale enterprise data products that power analytics, benchmarking, AI, and decision-support solutions. You will develop modern data pipelines, curated data assets, and reusable platform capabilities using Databricks and cloud-native technologies while partnering with product, analytics, and business teams to transform complex data into trusted, scalable solutions. You will contribute to data modernization and architecture initiatives, improve engineering standards, and provide technical guidance and mentoring to other engineers. Responsibilities: Design and build scalable data ingestion, transformation, and delivery pipelines using Databricks, Apache Spark, Python, and SQL. Develop curated data products that support analytics, benchmarking, reporting, AI, and operational decision-making. Partner with product, analytics, and business teams to translate complex requirements into reliable and maintainable data solutions. Modernize analytical assets, prototypes, and notebook-based solutions into governed, production-ready data products. Implement data quality, observability, lineage, security, and operational monitoring practices. Contribute to enterprise data architecture, metadata management, and data governance initiatives. Optimize data pipelines and platforms for performance, reliability, scalability, and cost efficiency. Develop reusable data platform capabilities and engineering patterns that accelerate delivery across products and business domains. Lead feature-level technical design, story refinement, and solution development activities for complex data initiatives. Collaborate with architects and engineering teams on product-level architecture and technical design decisions. Troubleshoot complex data, platform, integration, and performance issues and implement sustainable solutions. Mentor engineers through technical guidance, code reviews, knowledge sharing, and development support. Evaluate emerging data technologies and recommend opportunities to improve platform capabilities and engineering practices. Develop technical documentation, engineering standards, operational procedures, and continuous improvement practices. Qualifications: Relevant degree preferred. 5 or more years of relevant experience required. Strong experience with Databricks, Apache Spark, Python, and SQL required. Experience designing and building production-grade data pipelines, data products, and data platforms required. Experience developing cloud-based data solutions using Microsoft Azure, AWS, Google Cloud, or comparable cloud technologies required. Experience implementing CI/CD, automated testing, monitoring, and deployment practices for data solutions required. Experience with data modeling, distributed processing, performance optimization, and large-scale data engineering preferred. Experience working with structured and semi-structured data at scale preferred. Experience diagnosing and resolving complex data, platform, integration, and performance issues preferred. Experience with Delta Lake, Unity Catalog, Databricks Asset Bundles, or modern Lakehouse architectures preferred. Experience developing data products that support advanced analytics, machine learning, or AI solutions preferred. Knowledge of data governance, metadata management, regulatory requirements, and enterprise data management practices preferred. Experience modernizing legacy analytical solutions and transitioning prototypes into governed production platforms preferred. Healthcare, financial services, benchmarking, consulting, or analytics industry experience preferred. Estimated Hiring Range: At Vizient, we consider skills, experience, and organizational needs in our compensation approach. Geographic factors may adjust the range estimate and hires typically fall below the top range. Compensation decisions are tailored to individual circumstances. The current salary range for this role is $102,400.00 to $179,000.00. This position is also incentive eligible. Vizient has a comprehensive benefits plan! Please view our benefits here: http://www.vizientinc.com/about-us/careers Equal Opportunity Employer: Females/Minorities/Veterans/Individuals with Disabilities The Company is committed to equal employment opportunity to all employees and applicants without regard to race, religion, color, gender identity, ethnicity, age, national origin, sexual orientation, disability status, veteran status or any other category protected by applicable law.

When you’re the best, we’re the best. We instill an environment where employees feel engaged, satisfied and able to contribute their unique skills and talents while living and working as their authentic selves . We provide extensive opportunities for personal and professional development, building both employee competence and organizational capability to fuel exceptional performance through an inclusive environment both now and in the future. Summary: In this role, you will design, build, and scale enterprise data products that power analytics, benchmarking, AI, and decision-support solutions. You will develop modern data pipelines, curated data assets, and reusable platform capabilities using Databricks and cloud-native technologies while partnering with product, analytics, and business teams to transform complex data into trusted, scalable solutions. You will contribute to data modernization and architecture initiatives, improve engineering standards, and provide technical guidance and mentoring to other engineers. Responsibilities: Design and build scalable data ingestion, transformation, and delivery pipelines using Databricks, Apache Spark, Python, and SQL. Develop curated data products that support analytics, benchmarking, reporting, AI, and operational decision-making. Partner with product, analytics, and business teams to translate complex requirements into reliable and maintainable data solutions. Modernize analytical assets, prototypes, and notebook-based solutions into governed, production-ready data products. Implement data quality, observability, lineage, security, and operational monitoring practices. Contribute to enterprise data architecture, metadata management, and data governance initiatives. Optimize data pipelines and platforms for performance, reliability, scalability, and cost efficiency. Develop reusable data platform capabilities and engineering patterns that accelerate delivery across products and business domains. Lead feature-level technical design, story refinement, and solution development activities for complex data initiatives. Collaborate with architects and engineering teams on product-level architecture and technical design decisions. Troubleshoot complex data, platform, integration, and performance issues and implement sustainable solutions. Mentor engineers through technical guidance, code reviews, knowledge sharing, and development support. Evaluate emerging data technologies and recommend opportunities to improve platform capabilities and engineering practices. Develop technical documentation, engineering standards, operational procedures, and continuous improvement practices. Qualifications: Relevant degree preferred. 5 or more years of relevant experience required. Strong experience with Databricks, Apache Spark, Python, and SQL required. Experience designing and building production-grade data pipelines, data products, and data platforms required. Experience developing cloud-based data solutions using Microsoft Azure, AWS, Google Cloud, or comparable cloud technologies required. Experience implementing CI/CD, automated testing, monitoring, and deployment practices for data solutions required. Experience with data modeling, distributed processing, performance optimization, and large-scale data engineering preferred. Experience working with structured and semi-structured data at scale preferred. Experience diagnosing and resolving complex data, platform, integration, and performance issues preferred. Experience with Delta Lake, Unity Catalog, Databricks Asset Bundles, or modern Lakehouse architectures preferred. Experience developing data products that support advanced analytics, machine learning, or AI solutions preferred. Knowledge of data governance, metadata management, regulatory requirements, and enterprise data management practices preferred. Experience modernizing legacy analytical solutions and transitioning prototypes into governed production platforms preferred. Healthcare, financial services, benchmarking, consulting, or analytics industry experience preferred. Estimated Hiring Range: At Vizient, we consider skills, experience, and organizational needs in our compensation approach. Geographic factors may adjust the range estimate and hires typically fall below the top range. Compensation decisions are tailored to individual circumstances. The current salary range for this role is $102,400.00 to $179,000.00. This position is also incentive eligible. Vizient has a comprehensive benefits plan! Please view our benefits here: http://www.vizientinc.com/about-us/careers Equal Opportunity Employer: Females/Minorities/Veterans/Individuals with Disabilities The Company is committed to equal employment opportunity to all employees and applicants without regard to race, religion, color, gender identity, ethnicity, age, national origin, sexual orientation, disability status, veteran status or any other category protected by applicable law.

When you’re the best, we’re the best. We instill an environment where employees feel engaged, satisfied and able to contribute their unique skills and talents while living and working as their authentic selves . We provide extensive opportunities for personal and professional development, building both employee competence and organizational capability to fuel exceptional performance through an inclusive environment both now and in the future. Summary: In this role, you will design, build, and scale enterprise data products that power analytics, benchmarking, AI, and decision-support solutions. You will develop modern data pipelines, curated data assets, and reusable platform capabilities using Databricks and cloud-native technologies while partnering with product, analytics, and business teams to transform complex data into trusted, scalable solutions. You will contribute to data modernization and architecture initiatives, improve engineering standards, and provide technical guidance and mentoring to other engineers. Responsibilities: Design and build scalable data ingestion, transformation, and delivery pipelines using Databricks, Apache Spark, Python, and SQL. Develop curated data products that support analytics, benchmarking, reporting, AI, and operational decision-making. Partner with product, analytics, and business teams to translate complex requirements into reliable and maintainable data solutions. Modernize analytical assets, prototypes, and notebook-based solutions into governed, production-ready data products. Implement data quality, observability, lineage, security, and operational monitoring practices. Contribute to enterprise data architecture, metadata management, and data governance initiatives. Optimize data pipelines and platforms for performance, reliability, scalability, and cost efficiency. Develop reusable data platform capabilities and engineering patterns that accelerate delivery across products and business domains. Lead feature-level technical design, story refinement, and solution development activities for complex data initiatives. Collaborate with architects and engineering teams on product-level architecture and technical design decisions. Troubleshoot complex data, platform, integration, and performance issues and implement sustainable solutions. Mentor engineers through technical guidance, code reviews, knowledge sharing, and development support. Evaluate emerging data technologies and recommend opportunities to improve platform capabilities and engineering practices. Develop technical documentation, engineering standards, operational procedures, and continuous improvement practices. Qualifications: Relevant degree preferred. 5 or more years of relevant experience required. Strong experience with Databricks, Apache Spark, Python, and SQL required. Experience designing and building production-grade data pipelines, data products, and data platforms required. Experience developing cloud-based data solutions using Microsoft Azure, AWS, Google Cloud, or comparable cloud technologies required. Experience implementing CI/CD, automated testing, monitoring, and deployment practices for data solutions required. Experience with data modeling, distributed processing, performance optimization, and large-scale data engineering preferred. Experience working with structured and semi-structured data at scale preferred. Experience diagnosing and resolving complex data, platform, integration, and performance issues preferred. Experience with Delta Lake, Unity Catalog, Databricks Asset Bundles, or modern Lakehouse architectures preferred. Experience developing data products that support advanced analytics, machine learning, or AI solutions preferred. Knowledge of data governance, metadata management, regulatory requirements, and enterprise data management practices preferred. Experience modernizing legacy analytical solutions and transitioning prototypes into governed production platforms preferred. Healthcare, financial services, benchmarking, consulting, or analytics industry experience preferred. Estimated Hiring Range: At Vizient, we consider skills, experience, and organizational needs in our compensation approach. Geographic factors may adjust the range estimate and hires typically fall below the top range. Compensation decisions are tailored to individual circumstances. The current salary range for this role is $102,400.00 to $179,000.00. This position is also incentive eligible. Vizient has a comprehensive benefits plan! Please view our benefits here: http://www.vizientinc.com/about-us/careers Equal Opportunity Employer: Females/Minorities/Veterans/Individuals with Disabilities The Company is committed to equal employment opportunity to all employees and applicants without regard to race, religion, color, gender identity, ethnicity, age, national origin, sexual orientation, disability status, veteran status or any other category protected by applicable law.

When you’re the best, we’re the best. We instill an environment where employees feel engaged, satisfied and able to contribute their unique skills and talents while living and working as their authentic selves . We provide extensive opportunities for personal and professional development, building both employee competence and organizational capability to fuel exceptional performance through an inclusive environment both now and in the future. Summary: In this role, you will design, build, deploy, and support production AI capabilities for complex enterprise workflows. You will develop AI-enabled applications that combine large language models, retrieval, structured and unstructured data, deterministic processing, APIs, and distributed services to produce reliable and explainable results. You will partner with domain experts, architects, data teams, and software engineers to translate specialized knowledge into maintainable solutions while establishing the evaluation, testing, and observability practices needed to operate AI applications within measurable quality boundaries. Responsibilities: Design and implement production AI-enabled application services and workflow components. Build modular large language model and agentic capabilities with clearly defined responsibilities, inputs, outputs, and evaluation criteria. Develop retrieval and grounding solutions using structured data, semantic search, vector retrieval, and enterprise knowledge sources. Combine deterministic processing, business rules, retrieval, and model-based inference appropriately within application workflows. Build APIs, services, orchestration components, and asynchronous processing capabilities for production AI workloads. Develop automated evaluation and regression testing for large language model and AI behavior. Instrument applications to trace inputs, intermediate results, model interactions, decisions, errors, latency, and operational behavior. Investigate AI failure modes and use evaluation evidence to improve prompts, retrieval, workflow design, model selection, and application logic. Evaluate models and implementation approaches based on measurable quality, performance, security, maintainability, and cost. Implement controls that validate, constrain, and monitor model outputs within enterprise applications. Collaborate with domain experts to translate complex decision processes into maintainable software behavior. Participate in architecture reviews, technical design sessions, code reviews, and continuous improvement activities. Develop reusable AI engineering patterns, components, documentation, and evaluation practices. Support deployed AI applications through monitoring, troubleshooting, performance optimization, and production issue resolution. Qualifications: Relevant degree preferred. 5 or more years of relevant experience required. Strong experience developing production applications using Python. Hands-on experience building, deploying, and supporting generative AI or machine learning applications in production environments. Experience integrating commercial or open-source large language models through APIs or managed AI platforms. Experience with prompt engineering, structured model outputs, tool or function calling, retrieval-augmented generation, or agentic workflows. Experience building data-driven APIs and distributed application services using FastAPI or comparable frameworks. Experience developing automated tests and evaluation methods for nondeterministic AI behavior. Experience with embeddings, semantic search, vector retrieval, reranking, or comparable knowledge-retrieval techniques. Experience with cloud-native development, CI/CD pipelines, containerized services, and production deployment. Experience debugging complex issues across application code, enterprise data, AI models, retrieval systems, and distributed workflows. Experience with Microsoft Azure, Azure AI Foundry, Azure AI Search, Databricks, or Azure Service Bus preferred. Experience with AI evaluation, tracing, observability tooling, SQL, NoSQL databases, or agent-orchestration frameworks preferred. Experience developing applications involving sensitive, regulated, or high-consequence enterprise data preferred. Estimated Hiring Range: At Vizient, we consider skills, experience, and organizational needs in our compensation approach. Geographic factors may adjust the range estimate and hires typically fall below the top range. Compensation decisions are tailored to individual circumstances. The current salary range for this role is $102,400.00 to $179,000.00. This position is also incentive eligible. Vizient has a comprehensive benefits plan! Please view our benefits here: http://www.vizientinc.com/about-us/careers Equal Opportunity Employer: Females/Minorities/Veterans/Individuals with Disabilities The Company is committed to equal employment opportunity to all employees and applicants without regard to race, religion, color, gender identity, ethnicity, age, national origin, sexual orientation, disability status, veteran status or any other category protected by applicable law.

When you’re the best, we’re the best. We instill an environment where employees feel engaged, satisfied and able to contribute their unique skills and talents while living and working as their authentic selves . We provide extensive opportunities for personal and professional development, building both employee competence and organizational capability to fuel exceptional performance through an inclusive environment both now and in the future. Summary: In this role, you will design, build, deploy, and support production AI capabilities for complex enterprise workflows. You will develop AI-enabled applications that combine large language models, retrieval, structured and unstructured data, deterministic processing, APIs, and distributed services to produce reliable and explainable results. You will partner with domain experts, architects, data teams, and software engineers to translate specialized knowledge into maintainable solutions while establishing the evaluation, testing, and observability practices needed to operate AI applications within measurable quality boundaries. Responsibilities: Design and implement production AI-enabled application services and workflow components. Build modular large language model and agentic capabilities with clearly defined responsibilities, inputs, outputs, and evaluation criteria. Develop retrieval and grounding solutions using structured data, semantic search, vector retrieval, and enterprise knowledge sources. Combine deterministic processing, business rules, retrieval, and model-based inference appropriately within application workflows. Build APIs, services, orchestration components, and asynchronous processing capabilities for production AI workloads. Develop automated evaluation and regression testing for large language model and AI behavior. Instrument applications to trace inputs, intermediate results, model interactions, decisions, errors, latency, and operational behavior. Investigate AI failure modes and use evaluation evidence to improve prompts, retrieval, workflow design, model selection, and application logic. Evaluate models and implementation approaches based on measurable quality, performance, security, maintainability, and cost. Implement controls that validate, constrain, and monitor model outputs within enterprise applications. Collaborate with domain experts to translate complex decision processes into maintainable software behavior. Participate in architecture reviews, technical design sessions, code reviews, and continuous improvement activities. Develop reusable AI engineering patterns, components, documentation, and evaluation practices. Support deployed AI applications through monitoring, troubleshooting, performance optimization, and production issue resolution. Qualifications: Relevant degree preferred. 5 or more years of relevant experience required. Strong experience developing production applications using Python. Hands-on experience building, deploying, and supporting generative AI or machine learning applications in production environments. Experience integrating commercial or open-source large language models through APIs or managed AI platforms. Experience with prompt engineering, structured model outputs, tool or function calling, retrieval-augmented generation, or agentic workflows. Experience building data-driven APIs and distributed application services using FastAPI or comparable frameworks. Experience developing automated tests and evaluation methods for nondeterministic AI behavior. Experience with embeddings, semantic search, vector retrieval, reranking, or comparable knowledge-retrieval techniques. Experience with cloud-native development, CI/CD pipelines, containerized services, and production deployment. Experience debugging complex issues across application code, enterprise data, AI models, retrieval systems, and distributed workflows. Experience with Microsoft Azure, Azure AI Foundry, Azure AI Search, Databricks, or Azure Service Bus preferred. Experience with AI evaluation, tracing, observability tooling, SQL, NoSQL databases, or agent-orchestration frameworks preferred. Experience developing applications involving sensitive, regulated, or high-consequence enterprise data preferred. Estimated Hiring Range: At Vizient, we consider skills, experience, and organizational needs in our compensation approach. Geographic factors may adjust the range estimate and hires typically fall below the top range. Compensation decisions are tailored to individual circumstances. The current salary range for this role is $102,400.00 to $179,000.00. This position is also incentive eligible. Vizient has a comprehensive benefits plan! Please view our benefits here: http://www.vizientinc.com/about-us/careers Equal Opportunity Employer: Females/Minorities/Veterans/Individuals with Disabilities The Company is committed to equal employment opportunity to all employees and applicants without regard to race, religion, color, gender identity, ethnicity, age, national origin, sexual orientation, disability status, veteran status or any other category protected by applicable law.

When you’re the best, we’re the best. We instill an environment where employees feel engaged, satisfied and able to contribute their unique skills and talents while living and working as their authentic selves . We provide extensive opportunities for personal and professional development, building both employee competence and organizational capability to fuel exceptional performance through an inclusive environment both now and in the future. Summary: In this role, you will lead the technical design, development, deployment, and operation of enterprise-grade AI solutions for complex, knowledge-intensive workflows. You will combine generative AI, agentic workflows, retrieval, structured and unstructured data, deterministic processing, and human expertise to create accurate, secure, explainable, and reliable production applications. You will remain hands-on with architecture and implementation while leading engineers, establishing evaluation and observability practices, and partnering with domain experts, product leaders, architects, data teams, and platform teams to translate ambiguous business challenges into scalable technical solutions. Responsibilities: Lead the architecture, development, deployment, and operation of enterprise-grade AI and machine learning solutions. Design solutions that combine large language models, agentic workflows, retrieval, structured data, APIs, and deterministic processing. Translate complex expert workflows into modular, testable, and maintainable software components. Determine where AI inference, deterministic logic, retrieval, rules, or traditional data processing will produce the most reliable outcome. Establish evaluation strategies using representative test sets, expert-reviewed outcomes, regression testing, quality measurements, and stage-level analysis. Design observability capabilities that capture intermediate outputs, decision traces, evaluation results, performance measures, and failure modes. Lead investigations into grounding failures, hallucinations, retrieval quality, prompt behavior, model selection, orchestration, latency, accuracy, and cost. Evaluate architectural tradeoffs across performance, maintainability, extensibility, security, reliability, supportability, and operating cost. Develop APIs, services, prototypes, and production components while contributing to design reviews, code reviews, and complex technical problem-solving. Implement security, privacy, auditability, monitoring, and production-readiness practices for AI-enabled applications. Partner with domain experts, product leaders, architects, data teams, and platform teams to convert specialized knowledge into scalable system behavior. Develop reusable AI capabilities, engineering patterns, evaluation frameworks, and platform components that support multiple solutions. Mentor engineers and strengthen team practices across AI engineering, software design, testing, observability, and production operations. Drive continuous improvement by incorporating production metrics, evaluation results, expert feedback, and real-world user outcomes. Qualifications: Relevant degree preferred. 7 or more years of relevant experience required. Experience providing technical leadership for complex, production-grade software or AI systems required. Demonstrated experience personally designing, building, deploying, and operating generative AI or machine learning applications in enterprise production environments required. Strong experience with Python and modern API and service development, including FastAPI or comparable frameworks required. Experience with large language models, prompt engineering, structured outputs, tool or function calling, retrieval-augmented generation, and agentic workflows required. Experience establishing evaluation strategies for nondeterministic AI systems, including test datasets, regression evaluation, grounding, quality measurement, and failure analysis required. Strong understanding of the appropriate boundaries between probabilistic AI behavior and deterministic software, rules, retrieval, and data processing required. Experience with cloud-native architecture, asynchronous processing, APIs, events or queues, persistence, monitoring, and production observability required. Experience addressing enterprise security, privacy, reliability, auditability, supportability, performance, and cost requirements required. Experience with Microsoft Azure, Azure AI Foundry, Azure AI Search, or comparable cloud AI and semantic-retrieval technologies preferred. Experience with Databricks, vector databases, embeddings, reranking, semantic search, or enterprise knowledge-retrieval platforms preferred. Experience developing AI solutions involving sensitive, regulated, or high-consequence data and decisions preferred. Strong technical leadership, mentoring, communication, problem-solving, architecture, and cross-functional collaboration skills. Estimated Hiring Range: At Vizient, we consider skills, experience, and organizational needs in our compensation approach. Geographic factors may adjust the range estimate and hires typically fall below the top range. Compensation decisions are tailored to individual circumstances. The current salary range for this role is $117,600.00 to $206,000.00. This position is also incentive eligible. Vizient has a comprehensive benefits plan! Please view our benefits here: http://www.vizientinc.com/about-us/careers Equal Opportunity Employer: Females/Minorities/Veterans/Individuals with Disabilities The Company is committed to equal employment opportunity to all employees and applicants without regard to race, religion, color, gender identity, ethnicity, age, national origin, sexual orientation, disability status, veteran status or any other category protected by applicable law.

When you’re the best, we’re the best. We instill an environment where employees feel engaged, satisfied and able to contribute their unique skills and talents while living and working as their authentic selves . We provide extensive opportunities for personal and professional development, building both employee competence and organizational capability to fuel exceptional performance through an inclusive environment both now and in the future. Summary: In this role, you will lead the technical design, development, deployment, and operation of enterprise-grade AI solutions for complex, knowledge-intensive workflows. You will combine generative AI, agentic workflows, retrieval, structured and unstructured data, deterministic processing, and human expertise to create accurate, secure, explainable, and reliable production applications. You will remain hands-on with architecture and implementation while leading engineers, establishing evaluation and observability practices, and partnering with domain experts, product leaders, architects, data teams, and platform teams to translate ambiguous business challenges into scalable technical solutions. Responsibilities: Lead the architecture, development, deployment, and operation of enterprise-grade AI and machine learning solutions. Design solutions that combine large language models, agentic workflows, retrieval, structured data, APIs, and deterministic processing. Translate complex expert workflows into modular, testable, and maintainable software components. Determine where AI inference, deterministic logic, retrieval, rules, or traditional data processing will produce the most reliable outcome. Establish evaluation strategies using representative test sets, expert-reviewed outcomes, regression testing, quality measurements, and stage-level analysis. Design observability capabilities that capture intermediate outputs, decision traces, evaluation results, performance measures, and failure modes. Lead investigations into grounding failures, hallucinations, retrieval quality, prompt behavior, model selection, orchestration, latency, accuracy, and cost. Evaluate architectural tradeoffs across performance, maintainability, extensibility, security, reliability, supportability, and operating cost. Develop APIs, services, prototypes, and production components while contributing to design reviews, code reviews, and complex technical problem-solving. Implement security, privacy, auditability, monitoring, and production-readiness practices for AI-enabled applications. Partner with domain experts, product leaders, architects, data teams, and platform teams to convert specialized knowledge into scalable system behavior. Develop reusable AI capabilities, engineering patterns, evaluation frameworks, and platform components that support multiple solutions. Mentor engineers and strengthen team practices across AI engineering, software design, testing, observability, and production operations. Drive continuous improvement by incorporating production metrics, evaluation results, expert feedback, and real-world user outcomes. Qualifications: Relevant degree preferred. 7 or more years of relevant experience required. Experience providing technical leadership for complex, production-grade software or AI systems required. Demonstrated experience personally designing, building, deploying, and operating generative AI or machine learning applications in enterprise production environments required. Strong experience with Python and modern API and service development, including FastAPI or comparable frameworks required. Experience with large language models, prompt engineering, structured outputs, tool or function calling, retrieval-augmented generation, and agentic workflows required. Experience establishing evaluation strategies for nondeterministic AI systems, including test datasets, regression evaluation, grounding, quality measurement, and failure analysis required. Strong understanding of the appropriate boundaries between probabilistic AI behavior and deterministic software, rules, retrieval, and data processing required. Experience with cloud-native architecture, asynchronous processing, APIs, events or queues, persistence, monitoring, and production observability required. Experience addressing enterprise security, privacy, reliability, auditability, supportability, performance, and cost requirements required. Experience with Microsoft Azure, Azure AI Foundry, Azure AI Search, or comparable cloud AI and semantic-retrieval technologies preferred. Experience with Databricks, vector databases, embeddings, reranking, semantic search, or enterprise knowledge-retrieval platforms preferred. Experience developing AI solutions involving sensitive, regulated, or high-consequence data and decisions preferred. Strong technical leadership, mentoring, communication, problem-solving, architecture, and cross-functional collaboration skills. Estimated Hiring Range: At Vizient, we consider skills, experience, and organizational needs in our compensation approach. Geographic factors may adjust the range estimate and hires typically fall below the top range. Compensation decisions are tailored to individual circumstances. The current salary range for this role is $117,600.00 to $206,000.00. This position is also incentive eligible. Vizient has a comprehensive benefits plan! Please view our benefits here: http://www.vizientinc.com/about-us/careers Equal Opportunity Employer: Females/Minorities/Veterans/Individuals with Disabilities The Company is committed to equal employment opportunity to all employees and applicants without regard to race, religion, color, gender identity, ethnicity, age, national origin, sexual orientation, disability status, veteran status or any other category protected by applicable law.

When you’re the best, we’re the best. We instill an environment where employees feel engaged, satisfied and able to contribute their unique skills and talents while living and working as their authentic selves . We provide extensive opportunities for personal and professional development, building both employee competence and organizational capability to fuel exceptional performance through an inclusive environment both now and in the future. Summary: In this role, you will lead the technical design, development, deployment, and operation of enterprise-grade AI solutions for complex, knowledge-intensive workflows. You will combine generative AI, agentic workflows, retrieval, structured and unstructured data, deterministic processing, and human expertise to create accurate, secure, explainable, and reliable production applications. You will remain hands-on with architecture and implementation while leading engineers, establishing evaluation and observability practices, and partnering with domain experts, product leaders, architects, data teams, and platform teams to translate ambiguous business challenges into scalable technical solutions. Responsibilities: Lead the architecture, development, deployment, and operation of enterprise-grade AI and machine learning solutions. Design solutions that combine large language models, agentic workflows, retrieval, structured data, APIs, and deterministic processing. Translate complex expert workflows into modular, testable, and maintainable software components. Determine where AI inference, deterministic logic, retrieval, rules, or traditional data processing will produce the most reliable outcome. Establish evaluation strategies using representative test sets, expert-reviewed outcomes, regression testing, quality measurements, and stage-level analysis. Design observability capabilities that capture intermediate outputs, decision traces, evaluation results, performance measures, and failure modes. Lead investigations into grounding failures, hallucinations, retrieval quality, prompt behavior, model selection, orchestration, latency, accuracy, and cost. Evaluate architectural tradeoffs across performance, maintainability, extensibility, security, reliability, supportability, and operating cost. Develop APIs, services, prototypes, and production components while contributing to design reviews, code reviews, and complex technical problem-solving. Implement security, privacy, auditability, monitoring, and production-readiness practices for AI-enabled applications. Partner with domain experts, product leaders, architects, data teams, and platform teams to convert specialized knowledge into scalable system behavior. Develop reusable AI capabilities, engineering patterns, evaluation frameworks, and platform components that support multiple solutions. Mentor engineers and strengthen team practices across AI engineering, software design, testing, observability, and production operations. Drive continuous improvement by incorporating production metrics, evaluation results, expert feedback, and real-world user outcomes. Qualifications: Relevant degree preferred. 7 or more years of relevant experience required. Experience providing technical leadership for complex, production-grade software or AI systems required. Demonstrated experience personally designing, building, deploying, and operating generative AI or machine learning applications in enterprise production environments required. Strong experience with Python and modern API and service development, including FastAPI or comparable frameworks required. Experience with large language models, prompt engineering, structured outputs, tool or function calling, retrieval-augmented generation, and agentic workflows required. Experience establishing evaluation strategies for nondeterministic AI systems, including test datasets, regression evaluation, grounding, quality measurement, and failure analysis required. Strong understanding of the appropriate boundaries between probabilistic AI behavior and deterministic software, rules, retrieval, and data processing required. Experience with cloud-native architecture, asynchronous processing, APIs, events or queues, persistence, monitoring, and production observability required. Experience addressing enterprise security, privacy, reliability, auditability, supportability, performance, and cost requirements required. Experience with Microsoft Azure, Azure AI Foundry, Azure AI Search, or comparable cloud AI and semantic-retrieval technologies preferred. Experience with Databricks, vector databases, embeddings, reranking, semantic search, or enterprise knowledge-retrieval platforms preferred. Experience developing AI solutions involving sensitive, regulated, or high-consequence data and decisions preferred. Strong technical leadership, mentoring, communication, problem-solving, architecture, and cross-functional collaboration skills. Estimated Hiring Range: At Vizient, we consider skills, experience, and organizational needs in our compensation approach. Geographic factors may adjust the range estimate and hires typically fall below the top range. Compensation decisions are tailored to individual circumstances. The current salary range for this role is $117,600.00 to $206,000.00. This position is also incentive eligible. Vizient has a comprehensive benefits plan! Please view our benefits here: http://www.vizientinc.com/about-us/careers Equal Opportunity Employer: Females/Minorities/Veterans/Individuals with Disabilities The Company is committed to equal employment opportunity to all employees and applicants without regard to race, religion, color, gender identity, ethnicity, age, national origin, sexual orientation, disability status, veteran status or any other category protected by applicable law.