Lead AI ML Engineer Remote Nationwide or Hybrid in MN or DC

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.

Position Summary

As a Lead AI/ML Engineer within the Optum Health Financial Tech division at Optum Technology, you will design, develop, and scale state-of-the-art data platforms and pipelines that drive advanced analytics and machine learning. You will work on high-impact projects enabling generative AI solutions, such as RAG-style architectures, and optimize large-scale ingestion frameworks using technologies like Databricks, Spark, Snowflake, and AWS/Azure. This role offers the unique opportunity to build and scale critical data infrastructure that directly affects health outcomes, bringing cutting-edge AI capability into production.

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 scalable AI-powered solutions, data pipelines, and data platforms to address complex business challenges, with an emphasis on responsible AI use

Build and optimize ingestion frameworks for large-scale structured and unstructured data, supporting streaming and event-driven sources

Partner with cross-functional stakeholders to understand evolving data and AI needs, defining long-term technical solutions and translating ambiguous problems into scalable roadmaps

Enable and support machine learning and AI workflows, including feature engineering, data preparation, and model deployment support

Drive strategic initiatives around Generative AI, including RAG-style architectures, data quality, observability, lineage, and governance

Evaluate emerging trends in AI and machine learning to inform solution design, strategic innovation, and the rapid experimentation of AI/ML solutions

Introduce and evolve best practices in data modeling, orchestration, testing, and monitoring, while establishing reusable parsing, enrichment, analytic, and service libraries

Identify and champion opportunities for platform scalability, performance optimization, cost efficiency, and continuous improvement

Leverage enterprise-approved AI tools to streamline workflows, automate tasks, and accelerate team delivery

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:

Bachelor's degree or equivalent experience (e.g., 4+ years of additional software engineering experience)

5+ years of experience designing, building, and operating production-grade data pipelines and platforms across batch and streaming workloads

5+ years of hands-on software development experience using Python and/or Java, including code reviews, packaging, and deployment

5+ years of experience with distributed data processing systems like Spark (PySpark) and cloud-based platforms such as Databricks

2+ years of experience leveraging and deploying Generative AI and/or LLM use cases to production environments (such as RAG architectures)

3+ years of experience building ingestion frameworks for structured/unstructured data and scaling ETL/ELT pipelines using orchestration tools like Airflow

3+ years of experience with data lakes/warehouses (e.g., Databricks, Snowflake) and advanced SQL querying/tuning

2+ years of experience with DevOps practices, CI/CD tools (e.g., GitHub Actions), containerization (e.g., Docker, Kubernetes), and Infrastructure-as-Code (e.g., Terraform)

Preferred Qualifications:

Experience with major cloud platforms (AWS, Azure, and/or GCP), including managed data services

Experience with streaming and event-driven architectures (e.g., Kafka, Kinesis, Event Hubs)

Experience with data quality and validation frameworks (e.g., Great Expectations, Deequ) and data observability tooling

Experience enabling MLOps practices, including feature stores, model registries, experiment tracking, and deployment automation

Experience with lakehouse architectures, Delta Lake, and advanced Spark optimization/performance tuning

Experience with machine learning and predictive analytics

Familiarity with security and privacy concepts for data platforms (e.g., least privilege, PII/PHI handling) and working with compliance partners

Proven ability to lead through influence, mentor junior engineers, and translate ambiguous problems into scalable technical roadmaps

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 $145,500 - $249,500 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 a drug - free workplace. Candidates are required to pass a drug test before beginning employment.

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