Sr. Director, AI​/ML Engineering - Remote

Optum Insight is improving the flow of health data and information to create a more connected system. We remove friction and drive alignment between care providers and payers, and ultimately consumers. Our deep expertise in the industry and innovative technology empower us to help organizations reduce costs while improving risk management, quality and revenue growth. Ready to help us deliver results that improve lives?

Join us to start Caring. Connecting. Growing together.

Optum Insight partners with payers, providers, governments and life sciences companies to simplify and enhance clinical, administrative and financial processes through software‑enabled services and analytics, while advancing value‑based care. Our differentiated products, technology insights, clinical expertise and analytics support the entire health system—ultimately delivering better experiences for consumers.

Optum Insight Technology and Engineering is a critical function in Optum Insight driving the innovation and value we provide our customers and partners. This team is focused on products, solutions, platform/enabling capability development, product development lifecycle, engineering excellence and connectivity to Optum Technology.

In this enterprise‑scale role, this person will help drive the AI strategy across the Optum Insights – Payer portfolio, ensuring cross‑organizational alignment and disciplined execution from concept through commercialization. The person will partner closely with senior leaders across business, product, PIDI, and Operations to coordinate priorities, establish governance and reporting, and track outcomes against our transformation roadmap. Will also lead our AI narrative—how we communicate progress, value, and impact—internally and externally.

The TPM team will report to this individual providing program leadership, cadence, and cross‑team coordination required to accelerate delivery, scale commercialization and rapid AI development.

You’ll enjoy the flexibility to work remotely from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week.

• Partner closely with Optum Retail and Product leaders to define and execute an AI strategy that optimizes the product portfolio, accelerates modernization, and seamlessly integrates technology and services to deliver customer value
• Drive consistency and alignment in AI capability development across the Payer organization, including the integration of Generative AI and NLP solutions for clinical document processing and payer‑focused use cases
• Collaborate with Data Science teams to expand and scale advanced AI capabilities across the organization
• Lead the design and implementation of safe, scalable LLM‑driven applications, including vector databases, RAG pipelines, and governance guardrails
• Oversee and leverage modern AI and engineering technologies such as Databricks, Azure AI, PyTorch, OpenAI, GCP, backend frameworks (Node.js, Next.js, Java), serverless architectures, React, CI/CD pipelines, REST/Web Sockets APIs, and database platforms

You will be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.

• Undergraduate degree or equivalent experience
• 10+ years of experience in technology leadership, with a focus on large‑scale engineering or transformation initiatives
• Proven experience leading and managing high‑performing Technical Program Management (TPM) or engineering teams
• Proven ability to partner with senior business and product leaders to translate business needs into technical execution roadmaps

• Experience with OpenAI, PyTorch, and serverless architectures
• Experience with React, CI/CD pipelines, and REST/Web Socket APIs
• Experience with AI/ML engineering, including the implementation of vector databases, RAG pipelines, and safety guardrails for LLM‑driven applications
• Experience working…