Lead Software Engineer - Remote

Job d:

Location:

Eden Prairie, Minnesota, United States Salary: $112,700 - $193,200/year

Job Area:
Technology Company:
United Health Group Optum Insight is improving the flow of health data and information to create a more connected system. We remove friction and drive alignment between care providers and payers, and ultimately consumers. Our deep expertise in the industry and innovative technology empower us to help organizations reduce costs while improving risk management, quality and revenue growth. Ready to help us deliver results that improve lives? Join

us to start Caring. Connecting. Growing together.  We are seeking a Lead Software Engineer to design, build, and scale agentic AI systems and advanced ML solutions that improve healthcare delivery and operations. You will architect end-to-end question answering and multiagent workflows, integrate with our internal AI platform (e.g., UAIS), and ensure responsible, compliant use of AI in a regulated environment (HIPAA).

The ideal candidate combines deep software engineering expertise with hands on experience in LLMs, RAG, agent/tool use, evaluation on modern cloud and data platforms.

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:

Agentic AI Architecture & Delivery Design and implement (multi) agentic workflows where LLMs plan, decompose tasks, invoke tools/APIs, and synthesize answers across heterogeneous data sources and services

Build retrieval augmented generation (RAG) and hybrid search pipelines to power robust question answering over clinical and operational data Design, code, test, document, and maintain high quality, scalable Big Data and cloud solutions

Develop scalable microservices and APIs for integrating agent capabilities into clinician tools and internal apps Create prototypes/POCs and conduct design/code reviews to derisk delivery and raise engineering qualityLLMs, GenAI & Model Adaptation Leverage and adapt LLMs; perform prompt engineering, grounding, guard railing, and domain adaptation for healthcare terminology and tasks

Design intelligent frameworks and finetune models for compliance, accuracy, and ethical standards

Establish evaluation frameworks (automatic + human in the loop) to measure faithfulness, helpfulness, bias, toxicity, privacy leakage, and overall quality

Data & Platform Engineering Partner with data engineering to build feature/retrieval stores, embeddings pipelines, and ETL/ELT jobs on Spark/Databricks; design analytics models and rules engines

Define and develop APIs for integrations across the enterprise; improve data access patterns for low latency inference

Delivery, MLOps & Reliability Own MLOps/LLMOps: CI/CD for models/prompts, automated tests (unit/contract/eval), versioning, lineage, rollback; enable blue/green or canary releases

Instrument SLOs/SLIs (latency, availability, hallucination/defect rate) and cost KPIs (tokens, GPU hours) with dashboards and alerts

Lead production deployments on internal platforms (e.g., UAIS) with solid observability, reliability, and cost controls

Security, Privacy & Compliance Champion HIPAA and regulated industry controls; integrate access controls, PHI/PPI safeguards, data minimization, encryption, and auditability

Collaborate with legal, compliance, and clinical safety to operationalize Responsible AI principles

Product, Estimation & Collaboration Analyze and define customer requirements; assist in defining product technical architecture and delivery roadmaps

Provide effort estimates and inputs for resource planning; collaborate with QA,…