Optum Logo

Optum

Lead AI/ML Engineer - Remote

Posted 2 Hours Ago
Be an Early Applicant
In-Office or Remote
Hiring Remotely in Eden Prairie, MN
146K-250K Annually
Expert/Leader
In-Office or Remote
Hiring Remotely in Eden Prairie, MN
146K-250K Annually
Expert/Leader
Leads enterprise AI/ML architecture for LLM, agentic, multi-agent, and RAG applications. Designs scalable, secure, compliant frameworks; remains hands-on with coding and integrations; drives optimization, observability, reliability, governance, and reusable components. Partners with product, engineering, and compliance teams, evaluates emerging AI technologies, and mentors senior engineers. Requires extensive software engineering and AI architecture experience, strong Python skills, cloud and containerization expertise, and experience deploying AI solutions in regulated environments.
The summary above was generated by AI
Requisition Number: 2388231
Optum Tech is a global leader in health care innovation. Our teams develop cutting-edge solutions that help people live healthier lives and help make the health system work better for everyone. From advanced data analytics and AI to cybersecurity, we use innovative approaches to solve some of health care's most complex challenges. Your contributions here have the potential to change lives. Ready to build the next breakthrough? Join us to start Caring. Connecting. Growing together.
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:
  • Define and lead AI application architecture for ECS Big Bets and AI 10.0 initiatives, ensuring scalability, security, and compliance
  • Design frameworks and patterns for LLMs, agentic workflows, multi-agent systems, and RAG-based solutions
  • Provide thought leadership on AI technologies and best practices across the enterprise
  • Stay hands-on for critical coding and integration tasks, ensuring technical depth and quality
  • Collaborate with product, engineering, and compliance teams to align architecture with business and regulatory requirements
  • Drive performance optimization, observability, and reliability for AI applications
  • Establish governance standards, documentation, and reusable components for AI development
  • Mentor senior engineers and guide teams on architectural decisions and advanced AI techniques
  • Evaluate emerging AI tools and frameworks to future-proof enterprise solutions

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.
Required Qualifications:
  • 10+ years of software engineering experience, with at least 3+ years in AI/ML solution architecture
  • 6+ years of experience with architecting enterprise-scale AI applications, including LLMs, agentic workflows, multi-agent systems, and RAG-based solutions
  • 6+ years of experience with hands-on coding skills in Python, and experience with React, Next.js, and PostgreSQL
  • 6+ years of experience defining scalable, secure, and compliant architectures for regulated environments
  • 6+ years of experience with AI observability tools (Arize, Phoenix) and performance optimization strategies
  • Proven knowledge of cloud platforms (Azure/AWS), containerization (Docker/Kubernetes), and CI/CD pipelines

Preferred Qualifications:
  • AI Dojo Certification or equivalent advanced AI training
  • Experience in healthcare workflows and enterprise-grade AI deployments
  • Ability to lead technical teams, provide architectural guidance, and mentor senior engineers
  • Solid understanding of compliance, governance, and ethical AI standards
  • Excellent communication and collaboration skills for cross-functional leadership

*All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy.
Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $145,500 - $249,500 annually based on full-time employment. We comply with all minimum wage laws as applicable.
Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants.
At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.
UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.
UnitedHealth Group is a drug - free workplace. Candidates are required to pass a drug test before beginning employment.

Similar Jobs at Optum

2 Days Ago
In-Office or Remote
146K-250K Annually
Expert/Leader
146K-250K Annually
Expert/Leader
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Leads enterprise AI/ML architecture and engineering strategy, developing scalable AI-powered applications, agentic and generative AI solutions, streaming data pipelines, and cloud-native platforms. The role uses Python, Java, Spring Boot, Next.js, Kafka, and PostgreSQL while establishing architecture standards, governance, security, and reliability practices. Responsibilities include technical leadership across programs, stakeholder influence, mentoring engineering teams, evaluating emerging technologies, and driving responsible AI adoption.
Top Skills: Agentic AiAgnoAngularApache KafkaCloud-Native ArchitecturesGenerative AiJavaKnowledge GraphsLanggraphMlopsNestjsNext.JsPostgresPythonReactSpring BootSpring WebfluxVercel Ai Sdk
16 Days Ago
In-Office or Remote
146K-250K Annually
Senior level
146K-250K Annually
Senior level
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Leads the design, development, and deployment of AI-powered healthcare solutions using Java, Spring Boot microservices, HL7 FHIR, Da Vinci guides, Kafka, relational databases, Docker, Kubernetes, and cloud platforms. Builds REST APIs and event-driven systems across claims, eligibility, prior authorization, and provider domains. Establishes CI/CD automation, observability, security, and responsible AI practices while evaluating emerging technologies and improving operational workflows.
Top Skills: Apache KafkaAWSAzureAzure DevopsDa Vinci Implementation GuidesDockerElkGitGitGithub ActionsGrafanaHibernateHl7 FhirJava 17/21JenkinsJwtKubernetesMySQLOauth 2.0Oauth Client CredentialsOraclePostgresPrometheusSplunkSpring BootSpring Data Jpa
22 Days Ago
In-Office or Remote
146K-250K Annually
Expert/Leader
146K-250K Annually
Expert/Leader
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Lead technical direction and people management for an AI/ML engineering squad. Design, build, and deploy production-grade ML and Generative AI solutions (LLMs, RAG, agentic systems), drive MLOps/CI-CD, ensure Responsible AI and HIPAA-compliant practices, conduct architecture/code reviews, and mentor engineers to deliver measurable business outcomes.
Top Skills: Agentic AiCi/Cd For MlConversational AiDrift DetectionEmbeddingsGraph RagKnowledge GraphsKubeflowLimeLlmsLoraMlflowMlopsMulti-Agent SystemsNerPrompt EngineeringPythonRagShapText ClassificationTransformersWeights & Biases

What you need to know about the Seattle Tech Scene

Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.

Key Facts About Seattle Tech

  • Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Amazon, Microsoft, Meta, Google
  • Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
  • Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Madrona, Fuse, Tola, Maveron
  • Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account