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# Lead AI Software Engineer - Remote

- **Company:** Unitedhealth Group Inc
- **Location:** Washington, DC, United States (Remote available)
- **Experience:** Expert
- **Salary:** $112,700.0 - $193,200.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Amazon S3, Cloud Computing, Cloud Engineering, Cloud Storage, Elasticsearch, Python (Programming Language), Machine Learning, Natural Language Processing, Azure Machine Learning, Software Engineering, Enterprise Search, Retrieval-Augmented Generation, Large Language Models, Multi-Agent Systems, Google Vertex AI, IT Architecture, Generative AI, Agentic-AI, Kubernetes, Information Technology, Azure OpenAI API, Machine Learning Operations, Serverless Computing, OpenSearch
- **Published:** October 16, 2026
- **Apply:** https://www.juju.com/job/1_uhcg2-101913628576

## About the Role

alignment between AI initiatives and enterprise strategy, independently prioritizing and planning work against business objectives + Own the quality and operational excellence of AI software deliverables in production + Mentor and train team members on AI/ML technologies, frameworks, and responsible AI practices 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, Machine Learning, Data Science, Engineering, or a related technical field, or equivalent practical experience + 12+ years of software engineering experience, including 4+ years focused on AI/ML engineering + 4+ years delivering enterprise-scale AI, ML, Data, or Cloud platforms in production + 3+ years in a technical
leadership role - setting technical direction, leading engineering teams, and mentoring engineers (formal people-management experience is a plus, not a requirement) + Hands-on experience with Generative AI, including 3+ years with LLMs, NLP, and AI architecture, and 2+ years of applied experience with agentic AI patterns, RAG, and AI orchestration/automation frameworks + Experience with cloud-native AI/ML services and infrastructure across major providers - e.g., managed GenAI/ML platforms (AWS Bedrock/SageMaker, Azure OpenAI Service/Azure ML, GCP Vertex AI), serverless compute (Lambda/Azure Functions/Cloud Functions), container orchestration (ECS/EKS, AKS, GKE), managed search/vector stores (OpenSearch, Azure AI Search, Elasticsearch), and object storage (S3, Blob Storage, Cloud Storage) + Experience with AI governance, model lifecycle management, and production operationalization/support processes + Strong Python development skills and familiarity with
enterprise-scale AI/ML platforms **Preferred Qualifications:** + Experience scoping and delivering large, cross-team AI initiatives (budget/program-management experience is a plus) + Exposure to healthcare payer, claims, provider operations, utilization management, or other regulated industries + Experience driving enterprise cloud modernization or platform transformation initiatives + Strong stakeholder communication and cross-functional collaboration skills *All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy.