Director, AI Engineering & Delivery

Vizient; Edina (MN); On-site; USD 117,600 - 206,000; Full time

Benefits offered by this job

Professional development opportunities

Incentive eligibility

Job summary

Vizient is seeking a Director of AI Engineering in Edina, MN, to lead the execution of enterprise AI engineering initiatives. In this role, you will oversee the implementation of scalable AI practices and partner with various teams to deliver AI-powered solutions. The position requires 7 years of relevant experience and strong leadership capabilities.

The compensation range for this role is between $117,600.00 and $206,000.00, plus incentives. Benefits include professional development opportunities and a supportive work culture.

Qualifications

• 7+ years of experience in software engineering or AI application engineering.
• 3+ years of leadership experience in engineering teams or technology initiatives.
• Hands-on experience with large language models (LLMs) and AI solutions.

Responsibilities

• Lead and deliver enterprise AI engineering initiatives.
• Drive engineering delivery activities across AI teams.
• Implement AI engineering practices and operationalise SDLC processes.

Skills

Software engineering

AI application engineering

Engineering delivery

Analytical skills

Problem-solving skills

Cross-functional collaboration

Education

Relevant degree preferred

Tools

Cloud platforms

DevOps practices

APIs

Job description

Excited to grow your career? We value our talented employees and instill an environment where you feel engaged, satisfied and able to contribute your unique skills and talents while living and working as your authentic self. We provide extensive opportunities for personal and professional development, building employee competence and organisational capability to fuel exceptional performance through an inclusive environment both now and in the future. Our people make all the difference in our success.

Summary

In this role, you will lead the execution, operationalisation, 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 organisation 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 operationalise 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, optimisation, 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 operationalise 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 modernisation 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 trade‑offs, 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 organisations, 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 operationalising 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 operationalisation 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 authorised to work in the United States without sponsorship.

Career Framework

Management - Director (M3)

Estimated Hiring Range

At Vizient, we consider skills, experience, and organisational 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.

Benefits

Please view our benefits here: http://www.vizientinc.com/about-us/careers