Lead AI Engineer - Remote

Job d:

Location:

Eden Prairie, Minnesota, United States Salary: $145,500 - $249,500/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 to start Caring. Connecting. Growing together.

We are looking for a Senior GenAI Developer with solid hands-on expertise in both open source and AWS Generative AI stacks. You will design and build production-ready RAG pipelines, agentic AI workflows, and knowledge base chatbots. You will work closely with architects and business stakeholders to deliver accurate, low-hallucination, observable AI solutions at enterprise scale.

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:

Design and build production-grade RAG pipelines using Lang Chain and Lang Graph for stateful agentic workflows

Develop and maintain knowledge base chatbots with semantic search, source attribution, and multi-turn conversation memory

Implement advanced retrieval strategies
- Hybrid Search (vector + keyword), HyDE, and Hierarchical / Small-to-Big chunking

Build and manage multi-agent orchestration architectures with Agentic RAG patterns (Corrective RAG, Self-RAG)
Integrate LLMs (Claude, GPT-4o, Llama 3, Mistral) via API and open-source hosting (Fireworks AI, Groq)
Design and operate vector databases
- Pinecone, Weaviate, or PGVector - for semantic knowledge storage

Build AWS Bedrock-based solutions using Bedrock Agents, Knowledge Bases, and Guardrails Set up evaluation frameworks using Ragas (faithfulness, relevance scoring) and maintain Golden Datasets for CI/AI testing

Implement LLM observability using Lang Smith or Phoenix - trace calls, debug hallucinations, monitor costs

Apply PII redaction pipelines on ingested documents and enforce data security using Model Context Protocol (MCP)
Deploy AI backends using FastAPI and Docker with Open Telemetry for system-wide monitoring

Collaborate with Solution Architects to produce HLDs, LLDs, and developer-facing documentation for AI components

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, Artificial Intelligence, Data Science, or a related field8+ years of overall software / AI engineering experience2+ years of direct hands-on experience building and deploying GenAI / LLM-based applications in production

Solid Python development skills - primary language for AI engineering work Demonstrated portfolio or project experience with RAG pipelines, vector databases, and agentic architectures

Driver's License and access to reliable transportation

Preferred Qualifications:

AWS Certified AI Practitioner (AIF-C01) or Generative AI Developer (AIP-C01) certification AWS Certified Cloud Practitioner or Developer Associate AI/ML Specialty

Experience with Graph RAG for complex entity-relationship knowledge bases

Experience with Semantic Kernel as an alternative…