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AI Solution Architect - Remote
Remote / Online - Candidates ideally in
Denver, Denver County, Colorado, 80293, USA
Listed on 2026-10-09
Denver, Denver County, Colorado, 80293, USA
Listing for:
UnitedHealth Group
Remote/Work from Home
position Listed on 2026-10-09
Job specializations:
-
Software Development
AI Engineer (Applied/Software), Software Architect
Job Description & How to Apply Below
Location:
Denver, Colorado, United States Salary: $112,700 - $193,200/year
Job Area:
Technology Company:
United Health Group 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 in making healthcare work better for everyone through people-led, responsible AI while Caring. Connecting. Growing together.
Optum Health Technology is seeking an experienced AI Solution Architect to lead the architecture, design, and governance of enterprise-scale AI solutions that transform healthcare delivery, clinician experience, operational efficiency, and consumer engagement.
This role will partner closely with business leaders, product teams, engineering organizations, data scientists, and enterprise architects to define and implement AI-first technology strategies. The architect will design scalable, secure, and compliant solutions leveraging generative AI, agentic AI, machine learning, intelligent automation, cloud-native platforms, and healthcare data ecosystems.
The successful candidate will establish reference architectures, accelerate AI adoption across Optum Health, and ensure AI solutions align with responsible AI principles, regulatory requirements, and enterprise technology standards.
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.
Primary Responsibilities:
Lead end-to-end architecture for AI-powered healthcare solutions across clinical, operational, consumer, provider, and value-based care domains
Define enterprise AI architecture patterns, standards, guardrails, and reusable frameworks for GenAI, agentic AI, machine learning, and intelligent automation solutions
Design scalable architectures incorporating LLMs, RAG, knowledge graphs, vector databases, AI agents, orchestration frameworks, and healthcare data platforms
Partner with business and product leaders to identify opportunities where AI can drive meaningful business and healthcare outcomes
Establish AI platform integration patterns leveraging Azure AI services, cloud-native technologies, APIs, event-driven architectures, and enterprise applications
Has good underdstnading of US Healthcare domain, healthcare standards and platforms including FHIR, HL7, Epic, claims systems, provider systems, and clinical data platforms
Collaborate with AI engineering, MLOps, platform engineering, security, privacy, legal, and compliance teams to ensure production readiness
Define and implement Responsible AI controls including fairness, explainability, transparency, governance, risk management, and human-in-the-loop processes
Guide engineering teams on AI application design, prompt engineering strategies, agent orchestration patterns, model evaluation, and deployment architectures
Evaluate emerging AI technologies and industry trends to inform long-term Optum Health technology strategy
Influence enterprise-wide architectural decisions and provide technical leadership across multiple portfolios and business segments
Drive hands-on execution through rapid prototyping, proof-of-concept (PoC) development, and minimum viable product (MVP) implementations
Apply deep AIDLC understanding to…
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