> Markdown version of [/jobs/ext/1899103-lead-ai-ml-engineer-remote-nationwide-or-hybrid-in-mn-dc](https://www.wearedevelopers.com/jobs/ext/1899103-lead-ai-ml-engineer-remote-nationwide-or-hybrid-in-mn-dc). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Lead AI/ML Engineer-Remote Nationwide or Hybrid in MN/DC - **Company:** Optum, Inc - **Location:** Boston, MA, United States (Remote available) - **Experience:** Expert - **Salary:** $145,500.0 - $249,500.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Clinical Data Repository, Software Quality, Code Review, Continuous Integration, Data Infrastructure, Distributed Systems, Github, Python (Programming Language), Machine Learning, Performance Tuning, Software Engineering, Data Logging, Apache Spark, Deep Learning, Generative AI, Fastapi, Containerization, Pyspark, Production Code, Machine Learning Operations, Restful APIs, Software Version Control, Databricks - **Published:** July 31, 2026 - **Apply:** https://jobs.localjobnetwork.com/apply/add/87880414/1 ## About the Role * Bachelor's degree with 6+ years, or Master's with 4+ years, or PhD with 3+ years of relevant experience in AI/ML engineering or related fields * 3+ years of hands-on experience building, validating, tuning, and evaluating classical ML, deep learning, and Generative AI models * 3+ years of professional experience writing production-grade code in Python and utilizing modern ML/AI libraries * 2+ years of experience building and deploying AI systems utilizing RAG frameworks, vector databases, or orchestration libraries (e.g., LangChain, LangGraph) * Experience deploying, operating, and managing MLOps workloads on cloud platforms (Azure, AWS) utilizing containerization * Experience applying core software engineering practices, including version control (GitHub), code reviews, and CI/CD pipelines Preferred Qualifications: * Experience in healthcare technology, clinical data processing, or value-based care platforms * Experience with distributed computing technologies (e.g., Spark, Databricks) * Experience with model optimization techniques such as quantization, fine-tuning, and model compression * Proven ability to translate complex business requirements into scalable technical solutions and communicate them to non-technical stakeholders *All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy ## Description * Lead the design, architecture, and end-to-end implementation of AI/ML, GenAI, RAG-based, and agentic solutions * Apply machine learning, deep learning, statistical, and Generative AI techniques to solve complex clinical, operational, and financial business problems * Build, validate, optimize, and tune AI/ML models, including fine-tuning, quantization, performance tuning, and cost optimization * Develop and maintain production-grade APIs, such as FastAPI or REST services, to expose AI capabilities at scale * Own MLOps practices, including model versioning, lifecycle management, CI/CD, monitoring, logging, drift detection, 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, security, responsible AI, design reviews, and code reviews * Partner with product, data science, clinical, and business stakeholders while mentoring engineers and evaluating emerging AI technologies * Leverage enterprise-approved AI tools and technologies to streamline developer workflows, automate tasks, and drive continuous improvement across the platform 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. ## Related Videos - [AI in High-Stakes Industries: Lessons Learned](https://www.wearedevelopers.com/videos/100253-ai-in-high-stakes-industries-lessons-learned) - [Intro to FastAPI](https://www.wearedevelopers.com/videos/462-intro-to-fastapi) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [Fully Remote Software Engineer Jobs](https://www.wearedevelopers.com/magazine/447-fully-remote-software-engineer-jobs) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it)