Sr. AI/ML Engineer - OptumHealth - Remote

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.
As a Senior AI/ML Engineer within Optum Technology, you will design and deliver enterprise-scale AI solutions, platforms, and automations that transform healthcare delivery and operations. In this role, you will build scalable ML models, optimize data pipelines, and integrate advanced artificial intelligence architectures into production environments with an emphasis on responsible AI use. Working alongside cross-functional teams of data scientists, software engineers, and product leaders, you will evaluate emerging trends, streamline complex workflows, and deploy cutting-edge technologies to solve high-impact healthcare challenges.
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.
Primary Responsibilities
Design, develop, and deploy AI-powered solutions to address complex business challenges with an emphasis on responsible use of AI
Design, develop, and deploy scalable artificial intelligence and machine learning models into cloud-based production environments
Use enterprise-approved AI tools to streamline workflows, automate tasks, and drive continuous improvement
Evaluate emerging trends in artificial intelligence and machine learning to inform solution design and strategic innovation
Build, optimize, and maintain robust data pipelines and ML architectures for training, evaluation, and real-time inference
Collaborate with data scientists, software engineers, and product managers to translate healthcare business requirements into technical AI/ML architecture
Monitor, evaluate, and fine-tune model performance, latency, and accuracy in production environments
Establish best practices for MLOps, including automated testing, model monitoring, version control, and continuous integration/continuous deployment (CI/CD)
Conduct code reviews, mentor technical team members, and drive engineering excellence across the team
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.
Required Qualifications
5+ years of software engineering experience with a focus on designing, building, and deploying AI/ML models into enterprise production environments
3+ years of experience leveraging AI engineering tools and frameworks (e.g., TensorFlow, PyTorch, or scikit-learn) to build automated solutions
3+ years of programming experience in Python and utilizing modern cloud platforms (e.g., AWS, Azure, or GCP) for machine learning development
3+ years of experience building and optimizing data pipelines and database architectures (e.g., SQL, Spark, Kafka)
2+ years of experience with containerization, orchestration, and MLOps tools (e.g., Docker, Kubernetes, MLflow, Kubeflow, or Airflow)
Preferred Qualifications
Bachelors or Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related quantitative field.
Experience with Generative AI frameworks, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG) architectures
Experience building AI solutions within healthcare, including working with healthcare data standards (e.g., FHIR, HL7) and privacy/security guidelines
Demonstrated experience mentoring technical team members and evaluating emerging technology trends for enterprise integration
All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy.
Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $120,100 - $214,500 annually based on full-time employment. We comply with all minimum wage laws as applicable.
Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants.
At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.
UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.
UnitedHealth Group is a drug - free workplace. Candidates are required to pass a drug test before beginning employment.
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Work arrangement
Yes