As a Sr AI/ML Engineer on the United AI Studio team, you will build agentic experiences on an enterprise AI platform-including Agents, Model Context Protocol (MCP) servers, plugins, and skills that enable teams to register, discover, and govern AI assets. You will build agents that eliminate friction across engineering workflows, starting with responsible AI reviews. You will join a team running AI Solution governance, AI Catalog, and enterprise-wide agent/skill registries, working alongside teams building underlying governance rails to deliver cutting-edge AI capabilities across the organization.
You'll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges.
Primary Responsibilities:- Design, develop, and deploy AI-powered solutions to address complex business challenges with an emphasis on responsible use of AI
- Build agentic experiences end-to-end, managing tool design, context and state management, failure handling, retries, and cost/latency budgets from prototype through production behind enterprise gateways
- Design orchestration architectures, choosing between single agents, subagents, and deterministic pipelines, evaluating when a workflow should or should not be agentic
- Expose AI capabilities through channel-agnostic APIs and Model Context Protocol (MCP) tools with required authentication, scoping, and auditability
- Deliver agentic experiences into enterprise search and chat surfaces (e.g., Teams, Slack, Glean) using bot frameworks, connectors, and APIs
- Stand up evaluation harnesses for agent behavior using golden task sets, trajectory/end-state scoring, LLM-as-judge calibrated against human labels, and regression suites integrated into CI/CD pipelines
- Instrument production agents with tracing across tool calls, token/cost telemetry, and failure taxonomies, feeding real traces back into evaluation sets
- Test agents adversarially against prompt injections and tool output vulnerabilities, implementing necessary remediations
- Leverage enterprise-approved AI coding tools to streamline workflows, automate engineering tasks, and raise technical execution standards across teams
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 degree or 5+ years of equivalent software/AI engineering experience
- 5+ years of experience in backend software engineering, APIs, and service integration
- 2+ years of hands-on production experience with code-first agent frameworks (e.g., LangGraph, Google ADK, AWS Strands, Claude Agent SDK, OpenAI Agents SDK, Pydantic AI)
- 2+ years of experience building and deploying agentic solutions used in production environments, with a proven ability to debug and resolve production issues
- 1+ years of experience designing, building, or integrating Model Context Protocol (MCP) servers, tools, skills, or plugins
- 1+ years of experience implementing systematic evaluation harnesses or testing frameworks for LLM/agent behavior
- Demonstrated experience using AI coding assistants (e.g., Claude Code, Codex, Copilot) as part of daily development workflows
Preferred Qualifications:- Hands-on experience with managed agent runtimes (Azure AI Foundry Agent Service, Vertex AI Agent Engine, Bedrock AgentCore) and containerized deployments (GKE, EKS, AKS)
- Experience with retrieval and semantic search (embeddings, vector stores, RAG patterns, chunking, reranking with Postgres/pgvector, Azure AI Search, or OpenSearch) and evaluating retrieval efficacy
- Experience with LLM evaluation tooling (Ragas, DeepEval, Ranx, Braintrust, LangSmith, Langfuse, promptfoo) integrated directly into CI/CD pipelines
- Experience routing model calls through enterprise gateways to manage failover, cost attribution, and model version pinning
- Knowledge of durable execution for long-running agents (checkpointing, resumability, idempotent tool calls) and enterprise fundamentals (SSO, RBAC, audit, secrets management)
*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 $120,100 - $214,500 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.
