Senior AI/ML Engineer - Remote

UnitedHealth Group•Eden Prairie, MN

9d•Remote

About The Position

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. Optum Insight partners with payers, providers, governments and life sciences companies to simplify and enhance clinical, administrative and financial processes through software-enabled services and analytics, while advancing value-based care. Our differentiated products, technology insights, clinical expertise and analytics support the entire health system — ultimately delivering better experiences for consumers. Optum Insight Technology and Engineering is a critical function in Optum Insight driving the innovation and value we provide our customers and partners. This team is focused on products, solutions, platform / enabling capability development, product development lifecycle, engineering excellence and connectivity to Optum Technology. The Clinical Decision Support (CDS) Engineering team, a unit within the Optum Insight Technology organization is responsible for building commercial products helping payers and providers with administrative and clinician focused CDS solutions. We are seeking a lead AI/ML engineer who can bring deep expertise across the full development lifecycle of machine learning and generative AI-based solutions from design to development to MLOps. CDS is an area that truly touches payers, providers, as well as members and one where you can have a huge impact on improving the healthcare system for everyone. 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. 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.

Requirements

Bachelor’s degree or equivalent experience in Computer Science, Artificial Intelligence, Data Science, Math/Statistics, Electrical Engineering, Industrial Engineering, Bioinformatics, or another technical field that provides strong mathematical training
4+ years of professional hands-on experience with at least one programing language, such as Java, Python, or C#
2+ years of experience and proven track record of developing and deploying models in cloud environments like AWS, Azure, or GCP (Azure preferred)
Solid understanding of data structures, software design, and development, particularly with regards to large-scale data processing
Demonstrate the ability to independently initiate and drive projects from conception through to completion

Nice To Haves

Experience with AI/ML frameworks like TensorFlow and PyTorch
Demonstrated experience with GenAI agent frameworks like LangChain, LangGraph, or Semantic Kernel
Development experience in the healthcare sector
Proven solid communication skills with the ability to explain complex technical concepts to diverse audiences
All employees working remotely will be required to adhere to UnitedHealth Group’s Telecommuter Policy

Responsibilities

Design and implement analytics or AI/ML solutions for automation of prior authorization
Collaborate with business and operations teams to translate complex requirements into actionable AI solutions and clearly communicate insights to leadership and stakeholders
Design, train, and deploy ML models into production using techniques such as generative AI/LLMs, NLP/NLU, computer vision, deep learning, etc.
Work with large-scale data and distributed computing frameworks to process and analyze high-volume healthcare datasets efficiently
Apply advanced methodologies in statistics, optimization, probability theory, and machine learning to build tools, perform rigorous analysis, and deliver robust solutions using Python or similar languages
Partner with engineering teams to implement scalable, flexible pipelines that bring AI innovations into real-world products
Adapt to an agile, fast-paced environment, and maintain a passion for exploring and integrating cutting-edge AI technologies to support future projects