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# Lead AI/ML Engineer-Remote Nationwide or Office Based in MN/DC

- **Company:** Unitedhealth Group Inc
- **Location:** Boston, MA, United States (Remote available)
- **Experience:** Expert
- **Salary:** $145,500.0 - $249,500.0
- **Contract:** Permanent contract
- **Skills:** LangGraph Framework, Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Automation of Tests, Microsoft Azure, Big Data, Clinical Data Repository, Software Quality, Code Review, Continuous Integration, Data Infrastructure, Github, Python (Programming Language), Machine Learning, Microsoft Office, Software Engineering, Systems Integration, Web Services, Enterprise Data Management, Chatbots, Spring Cloud, Retrieval-Augmented Generation, Open-source Models, Large Language Models, Apache Spark, Generative AI, Agentic-AI, Build Management, Containerization, Pyspark, Kubernetes, Model Inference, Automation Anywhere, Databricks
- **Published:** October 7, 2026
- **Apply:** https://dejobs.org/x/x/486DD938E9724F99B4BFF225D5DB1CE3/job/

## About the Role

* Bachelor's degree with 6+ years, Master's degree with 4+ years, or PhD with 3+ years of relevant software engineering, AI engineering, or related experience
 * 2+ years of hands-on experience building Generative AI applications utilizing LLMs, RAG frameworks, AI agents, conversational AI, or workflow automation solutions
 * 3+ years of professional experience developing production-grade applications using Python and modern software engineering practices
 * Experience building and deploying AI systems utilizing vector databases, orchestration frameworks (e.g., LangChain, LangGraph), or similar technologies
 * Experience deploying and operating cloud-native applications on Azure or AWS utilizing containerization technologies
 * Solid experience with software engineering practices including GitHub, code reviews, automated testing, and CI/CD pipelines
 * Experience integrating AI solutions with enterprise data platforms and APIs, * Experience with Databricks, Spark, and large-scale data processing
 * Experience with traditional machine learning, predictive analytics, or statistical modeling
 * Experience fine-tuning open-source models or optimizing LLM inference performance
 * Experience evaluating and benchmarking AI systems for quality, safety, and business impact
 * Experience with healthcare technology, clinical data processing, or value-based care platforms
 * Ability to translate complex business requirements into scalable technical solutions and communicate effectively with technical and non-technical stakeholders

*All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy

## Description

* Lead the design, architecture, and implementation of Generative AI, RAG-based, agentic, and intelligent automation solutions
 * Design and build LLM-powered applications, conversational assistants, workflow automation, and knowledge retrieval systems
 * Develop and optimize prompts, retrieval strategies, AI agents, evaluation frameworks, and production AI workflows
 * Develop and maintain production-grade APIs and services to expose AI capabilities at scale.
 * Implement engineering best practices for AI application lifecycle management, monitoring, observability, governance, security, and reliability
 * Deploy and operate AI workloads on cloud platforms such as Azure or AWS using containerization, Databricks, PySpark, and modern data platforms
 * Establish engineering best practices for software quality, testing, responsible AI, design reviews, and code reviews
 * Partner with product, clinical, operational, and business stakeholders while mentoring engineers and evaluating emerging AI technologies
 * Leverage enterprise-approved AI tools and technologies to improve developer productivity and accelerate innovation

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.