AI Tech Lead (Modern AI Tech Stack) - Remote

UnitedHealth Group•Eden Prairie, MN

1d•Remote

About The Position

Optum Advisory is seeking an AI Tech Lead to design, build, and scale modern AI solutions across payer and provider transformation initiatives. This is a hands-on technical leadership role requiring deep involvement in architecture and engineering while leading globally distributed teams. The role focuses on delivering Generative AI, Agentic AI, and Retrieval Augmented Generation (RAG) solutions with enterprise-grade reliability, security, and responsible AI practices. 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.

Requirements

8+ years of overall software engineering experience
3+ years delivering AI/ML or Generative AI solutions in production
2+ years in a technical leadership role (Tech Lead, Lead Engineer, or Engineering Manager)
Demonstrated hands-on experience with Python-based backend development and API frameworks (Flask, FastAPI or equivalent)
Experience with vector search and enterprise search solutions
Proven experience building: Retrieval Augmented Generation (RAG) pipelines
Proven experience building: Agentic AI or multi-step AI workflows
Proven experience building: Evaluation and monitoring frameworks for AI quality
Familiarity with data processing frameworks used in AI pipelines (e.g., Databricks or equivalent)
Proven effective communication skills with the ability to explain complex AI concepts to diverse stakeholders

Nice To Haves

Experience with AI orchestration frameworks (e.g., LangChain, LlamaIndex, or similar)
Experience designing multi-agent architectures and reusable AI platforms
Experience working in healthcare or regulated environments
Proven containerization and cloud-native deployment (Docker; Kubernetes/AKS preferred)
Demonstrated background delivering AI solutions on Azure cloud
Proven ability to scale AI solutions across multiple teams and use cases

Responsibilities

Lead end-to-end design and implementation of AI solutions from concept through production
Define and own solution architecture for RAG pipelines, agentic workflows, tool calling, orchestration, and conversational context management
Establish and enforce engineering best practices including secure coding, code reviews, testing, performance optimization, and documentation
Partner with data and platform teams to align on governed data access, ingestion pipelines, and scalable AI architectures
Build and optimize RAG solutions using embeddings, chunking strategies, retrieval, reranking, and grounding techniques
Implement evaluation frameworks and automated regression testing to measure AI quality, accuracy, and reliability
Design and enforce guardrails to minimize hallucinations and ensure response completeness and compliance
Guide model selection and tuning with focus on performance, latency, and cost efficiency
Lead and mentor onshore and offshore engineering teams delivering AI solutions
Drive agile execution including sprint planning, backlog management, delivery tracking, and risk mitigation
Provide technical coaching and career development to engineers across geographies
Act as the primary technical point of contact for complex delivery challenges
Translate business problems into clear technical solutions and delivery plans
Communicate architecture decisions, progress, risks, and tradeoffs to technical and non-technical stakeholders
Contribute reusable accelerators, reference architectures, and best practices across Optum Advisory engagements