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Summary

In this role, you will lead the execution, operationalization, scaling, and continuous improvement of enterprise AI engineering and delivery initiatives across Vizient. You will implement scalable AI engineering practices, AI delivery operating models, AIOps and LLMOps capabilities, and cross-functional engineering standards that enable the organization to rapidly and responsibly deliver AI-powered business outcomes, operational efficiencies, and scalable enterprise value. You will partner closely with business, technology, governance, automation, architecture, and quality engineering teams to build production-grade AI applications, agentic workflows, reusable platform capabilities, and operational processes that support Vizient's enterprise AI transformation strategy.

Responsibilities

Lead the execution and delivery of enterprise AI engineering initiatives, including AI-powered applications, LLM-enabled workflows, agentic orchestration solutions, AI-enabled automation capabilities, and platform integrations

Drive day-to-day engineering delivery activities across AI teams, including sprint execution, backlog management, delivery tracking, issue resolution, dependency management, and operational execution

Implement and operationalize enterprise AI engineering practices, including AI software development lifecycle (SDLC) processes, deployment standards, runtime observability, release management, and engineering quality practices

Provide technical oversight across solution design, development, validation, deployment, monitoring, optimization, and production support activities

Support AIOps and LLMOps operational practices, including runtime monitoring, drift detection, observability, incident management, prompt lifecycle management, evaluation execution, operational telemetry, and production reliability

Develop reusable AI engineering patterns, implementation playbooks, shared services, templates, internal libraries, and engineering accelerators to improve delivery consistency, scalability, and operational efficiency

Drive adoption of enterprise engineering standards, scalable delivery practices, and shared implementation patterns across AI delivery teams

Partner with AI Governance, Quality Engineering, Automation, Architecture, and AI Delivery Lifecycle teams to operationalize governance requirements, validation processes, responsible AI controls, runtime safeguards, and secure delivery practices

Coordinate AI delivery activities across teams, including operational planning, resource management, contractor and vendor alignment, knowledge transfer, and delivery continuity

Partner with cross-functional stakeholders to support technical feasibility assessments, delivery readiness activities, implementation planning, and engineering sustainability efforts

Support vendor evaluations, platform implementation initiatives, build-versus-buy assessments, and engineering modernization efforts

Lead, mentor, and develop engineering managers, architects, engineers, and contractor teams while fostering a high-performing, collaborative, and continuously learning culture

Communicate delivery progress, operational risks, technical updates, engineering tradeoffs, and implementation recommendations to technical and business leaders

Research and evaluate emerging AI engineering, automation, observability, orchestration, and platform technologies to support innovation and continuous improvement

Qualifications

Relevant degree preferred

7 or more years of experience in software engineering, AI application engineering, engineering delivery, platform engineering, or enterprise technology functions required

3 or more years of experience leading engineering teams, delivery organizations, or large-scale technology initiatives required

Experience leading distributed teams, contractor/vendor coordination, and large-scale engineering delivery initiatives within complex and evolving operational environments required

Hands-on experience designing, delivering, and operationalizing production AI solutions leveraging large language models (LLMs), APIs, agentic workflows, orchestration frameworks, and modern AI engineering patterns required

Experience implementing and scaling engineering operating models, AI delivery frameworks, agile delivery ecosystems, or enterprise engineering practices required

Strong analytical, problem-solving, communication, presentation, stakeholder management, and cross-functional collaboration skills required

Ability to manage multiple priorities in fast-paced, evolving, and deadline-driven environments required

Experience with cloud platforms, APIs, data integration, DevOps practices, automation frameworks, and modern software engineering tools preferred

Experience operating in healthcare or other regulated environments preferred

Strong understanding of responsible AI concepts, including governance, human oversight, model monitoring, operational risk management, AI security considerations, and secure operationalization of AI solutions within enterprise environments preferred

Healthcare industry experience, including familiarity with HIPAA, SOC 2, or other regulated data environments preferred

Experience with AI-enabled automation, intelligent orchestration, evaluation pipelines, operational AI delivery practices, and agentic frameworks preferred

Demonstrated ability to balance execution excellence, operational scalability, governance, and engineering delivery effectiveness preferred

You must be authorized to work in the United States without sponsorship.

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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.