AI Solutions Architect - Eden Prairie, MN

Improve the lives of others while Caring. Connecting. Growing together.

Job Description - AI Solutions Architect
- Eden Prairie, MN (2361999)

AI Solutions Architect
- Eden Prairie, MN - 2361999

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities.

Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together.

The AI Enablement Solution Architect is responsible for advancing AI capabilities that materially improve our products and platforms—from initial concept through implementation and adoption. The role focuses on identifying where applied AI can drive measurable outcomes, shaping the approach with engineering and data science, and ensuring solutions are integrated into real product workflows across teams.

This position requires demonstrated, hands‑on experience delivering AI‑enabled work in production environments, including the ability to engage credibly on solution design, data needs, integration patterns, evaluation considerations, and operational readiness. The role also strengthens front‑end delivery by using AI‑assisted discovery to accelerate early ideation into clear scope, feature definition, and user story readiness, improving throughput and reducing downstream rework.

Success depends on strong executive communication and practical leadership: the ability to frame opportunities and tradeoffs clearly, align stakeholders quickly, and keep multiple teams moving toward implementation and measurable impact.

• Define and communicate AI solution approaches aligned to business objectives, platform strategy, and delivery constraints
• Lead solution optioning and decision support by documenting tradeoffs across value, feasibility, data readiness, integration approach, sequencing, and delivery complexity
• Partner with engineering and data science to translate technical considerations into clear delivery plans, including implementation approach, evaluation strategy, and operational readiness needs
• Drive cross‑team implementation by coordinating with multiple product and application teams to integrate AI capabilities into end‑to‑end product workflows, ensuring consistent execution through release
• Apply AI‑assisted methods to accelerate early discovery and definition—moving ideas into implementable features and well‑formed user stories with reduced rework
• Produce solution artifacts that enable delivery (solution direction, phased approach, key decisions, and rationale) and support architecture review forums as needed
• Present effectively to varied audiences, from technical working sessions to product leadership and executive stakeholders, focusing on decisions, outcomes, and implications

You’ll 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.

• Demonstrated experience leading AI‑enabled initiatives through implementation and release in partnership with engineering and data science teams
• Proven solid technical fluency in AI solution considerations (data needs, integration patterns, measurement/evaluation, and operationalization) sufficient to guide solutioning and tradeoff discussions
• Proven excellent communication skills, including strong written artifacts, clear facilitation, and the ability to tailor messaging to technical, business, and executive audiences
• Demonstrated ability to operate independently, set direction in ambiguous spaces, and advance work through structured problem framing, sound judgment, and proactive stakeholder engagement

• Experience in a software engineering role (or equivalent…