Senior AI or ML Engineer - Remote

UnitedHealth Group•Eden Prairie, MN

2d•$120,100 - $214,500•Remote

About The Position

Optum Tech is a global leader in health care innovation. Our teams develop cutting-edge solutions that help people live healthier lives and help make the health system work better for everyone. From advanced data analytics and AI to cybersecurity, we use innovative approaches to solve some of health care’s most complex challenges. Your contributions here have the potential to change lives. Ready to build the next breakthrough? Join us to start Caring. Connecting. Growing together. We are seeking a Senior AI/ML Engineer to join our dynamic Consumer Engineering team within the Chief Digital Office (CDO). In this role, you will be at the forefront of driving digital transformation, design, and deployment of scalable AI and machine learning models that directly elevate the consumer healthcare experience. You will collaborate with cross-functional teams to integrate advanced cognitive solutions, build secure and performant data pipelines, and automate infrastructure to ensure robust, enterprise-scale products. This is an exciting opportunity to leverage modern AI tools and frameworks to build products that make healthcare more accessible, personalized, and intuitive for millions of users. 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.

Requirements

Bachelor's degree or 4+ years of equivalent software engineering or data science experience in lieu of a degree
5+ years of software development experience with proficiency in Python, Core Java, or Scala
3+ years of experience designing, building, and deploying AI/ML models or pipelines into production environments
3+ years of experience with cloud platforms (Azure or AWS) and container orchestration using Kubernetes
2+ years of experience in data engineering (e.g., GraphQL, database design, and data pipeline construction)
Experience with infrastructure automation using tools such as Terraform
Experience utilizing version control systems (e.g., GitHub) for professional team collaboration

Nice To Haves

Bachelor's or Master's degree in Computer Science, Data Science, AI/ML, or a related technical field
Experience working with large-scale datasets, data warehousing, and distributed query engines
Experience establishing continuous integration and continuous deployment (CI/CD) pipelines for ML models (MLOps)
Knowledge of modern Generative AI, Large Language Models (LLMs), and prompt engineering best practices
Proven solid analytical, communication, and collaboration skills to bridge technical concepts with business requirements

Responsibilities

Prioritize and execute tasks in the software development life cycle (SDLC) for AI/ML tools and applications
Design, develop, and deploy AI-powered solutions to address complex business challenges with an emphasis on the responsible use of AI
Use enterprise-approved AI tools to streamline workflows, automate tasks, and drive continuous improvement
Develop tools, pipelines, and applications by producing clean, efficient, and scalable code in Python, Core Java, or Scala
Automate infrastructure provisioning and development operations through appropriate scripting and tools (e.g., Terraform)
Review, debug, and optimize code to maintain the highest standards of software quality, security, and performance
Perform validation, performance, and verification testing on deep learning and machine learning models
Evaluate emerging trends and research in artificial intelligence and machine learning to inform solution design and strategic innovation
Document development phases, architectures, and monitor deployed AI systems to ensure enterprise-scale reliability