Sr AI ML/Engineer - Remote Nationwide or Hybrid in MN/DC

UnitedHealth Group•Minnetonka, MN

1d•$120,100 - $214,500•Hybrid

About The Position

As a Senior AI/ML Engineer within the Optum Tech UHC Technology division supporting UHC Operations and Experience, you will play a critical role in transforming the healthcare landscape. You will collaborate with cross-functional teams to design, build, and deploy production-ready AI and Machine Learning systems that enhance member experience and optimize operations. Leveraging advanced tools and frameworks such as Python, Databricks, LangChain, LangGraph, and Azure, you will build agentic solutions and intelligent automated workflows to solve some of healthcare's most complex problems. This is an exciting opportunity to apply generative AI and deep learning to deliver scalable, real-world impact. You’ll enjoy the flexibility to work remotely from anywhere within the U.S. as you take on some tough challenges. This position follows a hybrid schedule with four in-office days per week.

Requirements

Bachelor's degree or equivalent experience (e.g., 4+ years of additional software development or AI/ML engineering experience)
4+ years of software engineering or data science experience, with a core focus on designing, developing, and deploying AI/ML systems in production environments
3+ years of professional experience programming with Python and its data science ecosystem (e.g., NumPy, Pandas, Scikit-learn)
2+ years of experience utilizing cloud-based platforms and big data frameworks (such as Databricks and Microsoft Azure)
1+ years of experience building applications with Large Language Models (LLMs) and orchestration frameworks (e.g., LangChain or LangGraph)
Demonstrated experience with database systems (SQL/NoSQL) and standard software engineering practices (version control, CI/CD, testing)

Nice To Haves

Master’s or PhD degree in Computer Science, Data Science, Artificial Intelligence, Mathematics, or a related field
Experience with advanced deep learning frameworks (e.g., PyTorch, TensorFlow) and NLP/NLU techniques (e.g., intent classification, semantic understanding)
Experience in the healthcare industry, particularly working with claims, clinical data, or member services
Experience implementing robust MLOps practices, model monitoring, and drift detection mechanisms
Proven excellent verbal and written communication skills with the ability to present complex technical concepts to non-technical stakeholders and leadership

Responsibilities

Design, develop, and deploy production-grade AI/ML models, agentic workflows, and pipelines using Python, Databricks, and Azure
Build, test, and optimize state-of-the-art LLM applications and complex reasoning systems using orchestration frameworks like LangChain and LangGraph
Use enterprise-approved AI tools to streamline development workflows, automate repetitive engineering tasks, and drive continuous improvement
Collaborate with research, engineering, and product teams to translate business requirements and complex analytics into reusable, production-ready capabilities
Evaluate emerging AI/ML trends, tools, and methodologies to inform strategic technical choices and platform innovation
Design and implement scalable data engineering pipelines, feature engineering systems, and automated validation frameworks
Uphold responsible AI principles by embedding fairness, security, transparency, and accountability throughout the model development lifecycle