The Role
Lead design and build of enterprise-grade AI/ML and Generative AI architectures and production services across multi-cloud environments. Hands-on development of LLM integrations, RAG, vector search, AI agents, MLOps/LLMOps, CI/CD, and API-driven integrations. Define platform standards, governance, security, and mentor engineering teams while partnering with security/compliance and data engineering.
Summary Generated by Built In
Requisition Number: 2370498
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.
Primary Responsibilities:
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:
Preferred Qualifications:
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.
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.
Primary Responsibilities:
- AI Architecture & Solution Design:
- Design enterprise-grade AI/ML and Generative AI architectures aligned with business and technology strategies
- Define scalable patterns for:
- LLM integration
- RAG (Retrieval-Augmented Generation)
- Agentic AI workflows
- AI orchestration frameworks
- Vector databases
- AI gateways
- Model serving and inference
- Architect multi-cloud AI solutions across Azure, AWS, and GCP
- Define AI platform standards, reusable components, and reference architectures
- Hands-on Engineering:
- Build production-ready AI services and APIs using Python, Java, or Node.js.
- Develop and optimize:
- Prompt engineering frameworks
- AI agents
- Semantic search pipelines
- Embedding workflows
- Fine-tuning pipelines
- Implement integrations with enterprise systems using APIs, event-driven architectures, and streaming technologies
- Work directly with engineering teams on coding, troubleshooting, performance tuning, and deployment automation
- Generative AI & LLM Engineering:
- Evaluate and implement enterprise LLM solutions including OpenAI, Anthropic, Gemini, and open-source models
- Design secure and compliant GenAI architectures with guardrails, governance, and observability
- Implement:
- RAG pipelines
- Vector search
- Knowledge grounding
- AI evaluation frameworks
- Hallucination mitigation strategies
- Establish responsible AI practices including explainability, privacy, and bias mitigation
- Cloud & Platform Engineering:
- Design AI infrastructure on Azure OpenAI, AWS Bedrock, Vertex AI, Kubernetes, and container platforms
- Build CI/CD pipelines for ML and AI workloads
- Implement MLOps and LLMOps practices for model lifecycle management
- Drive infrastructure automation using Terraform, Helm, GitHub Actions, or Azure DevOps
- Data & Integration:
- Collaborate with data engineering teams to build scalable AI data pipelines
- Design event-driven and streaming architectures using Kafka and modern integration frameworks
- Ensure interoperability and API-first design principles across platforms
- Governance & Leadership:
- Define enterprise AI standards, policies, and architecture governance
- Mentor engineers and architects on AI best practices
- Conduct architecture reviews and technology evaluations
- Partner with security and compliance teams to ensure adherence to enterprise standards
- Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so
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:
- Bachelor's or Master's degree in Computer Science, Engineering, AI, Data Science, or related field
- 10+ years of software engineering/architecture experience
- Hands-on experience with AI/ML or Generative AI implementation
- Experience deploying enterprise solutions in production environments
- Solid expertise in:
- Python
- APIs & microservices
- Cloud-native architectures
- Kubernetes & containers
- AI/ML frameworks
Preferred Qualifications:
- AI/Cloud certifications
- Experience in healthcare, finance, or regulated industries
- Experience with enterprise API governance and streaming platforms
- Knowledge of responsible AI frameworks and AI security controls
- Familiarity with FHIR, HL7, or healthcare interoperability standards
- Proven solid communication and stakeholder management
- Proven ability to influence executive and engineering leadership
- Proven solid problem-solving and architecture decision-making skills
- Proven ability to balance strategic thinking with hands-on execution
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.
Skills Required
- Bachelor's or Master's degree in Computer Science, Engineering, AI, Data Science, or related field
- 10+ years of software engineering/architecture experience
- Hands-on experience with AI/ML or Generative AI implementation
- Experience deploying enterprise solutions in production environments
- Expertise in Python
- Experience with APIs & microservices
- Experience with cloud-native architectures
- Experience with Kubernetes & containers
- Experience with AI/ML frameworks
- Experience with LLM integration, RAG, vector search, embedding workflows, prompt engineering, and model serving/inference
- Experience with multi-cloud AI solutions (Azure, AWS, GCP)
- Experience with CI/CD, MLOps/LLMOps, and infrastructure automation (Terraform, Helm, GitHub Actions or Azure DevOps)
- Experience designing event-driven/streaming architectures using Kafka and enterprise integrations
- AI/Cloud certifications
- Experience in healthcare, finance, or regulated industries
- Experience with enterprise API governance and streaming platforms
- Knowledge of responsible AI frameworks and AI security controls
- Familiarity with FHIR, HL7, or healthcare interoperability standards
- Proven communication, stakeholder management, and ability to influence executive leadership
Optum Compensation & Benefits Highlights
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Healthcare Strength — Health coverage offers copay and HSA medical options with dental, vision, company‑paid life and disability, and free or low‑cost virtual visits. Feedback suggests the offering is comprehensive and competitive on paper.
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Parental & Family Support — Time off and family supports include PTO, eight paid holidays plus a floating day, six weeks paid parental leave, up to two weeks paid caregiver leave, Bright Horizons back‑up care, and adoption assistance up to $10,000. Feedback suggests these resources are meaningful for caregivers and family needs.
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Retirement Support — Savings programs include a 401(k) with employer match (after one year, vesting after two) and a 10%‑discount Employee Stock Purchase Plan. These programs bolster long‑term financial security when combined with other savings resources.
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The Company
What We Do
Optum, part of the UnitedHealth Group family of businesses, 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. At Optum, we support your well-being with an understanding team, extensive benefits and rewarding opportunities. By joining us, you’ll have the resources to drive system transformation while we help you take care of your future. We recognize the power of connection to drive change, improve efficiency and make a difference in health care. Join a team where your skills and ideas can make an impact and where collaboration is key to creating technology that produces healthier outcomes.
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Optum Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
Optum has three workplace models that balance the needs of the business and the responsibilities of each role. These models, core on‑site (5 days/week), hybrid (4 days/week) and telecommute or fully remote, vary by country, role and location.
Typical time on-site:
Not Specified
