Director, AI Engineering & Delivery
$117,600–$206,000 year
On-site · Chicago, Illinois, United States or Edina, Minnesota, United States
Chicago, Illinois, United States or Edina, Minnesota, United StatesOn-siteFull Time$117,600–$206,000 yearSenior LevelNot SpecifiedEnterprise
Type
Full Time
Level
Senior Level
Education
Not Specified
Company size
Enterprise
Job Summary
Lead the execution, operationalization, and scaling of enterprise AI engineering and delivery initiatives across Vizient. Drive AI-powered applications, LLM-enabled workflows, agentic orchestration, and AI delivery platform capabilities; establish scalable SDLC, observability, release management, and governance practices; mentor and align engineering managers, architects, and contractor teams; collaborate with governance, quality, automation, and architecture functions to ensure responsible AI and secure delivery; coordinate cross-team delivery planning, resource management, and knowledge transfer to sustain high-performing, scalable AI delivery across the organization.
Required 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
- 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.
Desired Qualifications
- 7+ years of experience in software engineering, AI application engineering, engineering delivery, platform engineering, or enterprise technology functions
- 3+ years of experience leading engineering teams, delivery organizations, or large-scale technology initiatives
- 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
- Experience implementing and scaling engineering operating models, AI delivery frameworks, agile delivery ecosystems, or enterprise engineering practices
- Strong analytical, problem-solving, communication, presentation, stakeholder management, and cross-functional collaboration skills
- Ability to manage multiple priorities in fast-paced, evolving, and deadline-driven environments
- Experience with cloud platforms, APIs, data integration, DevOps practices, automation frameworks, and modern software engineering tools
- Experience operating in healthcare or other regulated environments
- 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
- Healthcare industry experience, including familiarity with HIPAA, SOC 2, or other regulated data environments
- Experience with AI-enabled automation, intelligent orchestration, evaluation pipelines, operational AI delivery practices, and agentic frameworks
- Demonstrated ability to balance execution excellence, operational scalability, governance, and engineering delivery effectiveness
- Authorized to work in the United States without sponsorship
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