Senior AI/ML Engineer - Remote
About The Position
Optum Tech’s AI Science team develops healthcare software and analytics platforms by turning clinical, administrative, and financial challenges into intelligent automated systems. The Senior AI/ML Engineer designs, builds, and deploys production-grade machine learning models and end-to-end workflows at enterprise scale. The role uses agentic coding frameworks and tools such as Claude Code and Codex, Databricks Genie for interactive data intelligence, and custom-trained models to deliver measurable impact across healthcare. The engineer works with cross-functional engineering and product teams to integrate responsible AI into core software architectures. The position is remote within the United States. Employees hired in the Minneapolis or Washington, D.C. area must work in the office at least four days per week. Remote employees must adhere to UnitedHealth Group’s Telecommuter Policy.
Requirements
- Bachelor’s degree in Computer Science, Artificial Intelligence, Computer Engineering, or a similar field.
- At least 4 years of professional software engineering and machine learning engineering experience, including a proven record of deploying models into production.
- Demonstrated experience training, fine-tuning, and evaluating machine learning or deep learning models using tools such as PyTorch, TensorFlow, Scikit-learn, or Hugging Face.
- Experience building end-to-end AI/ML workflows and data pipelines using modern cloud or data platforms such as Databricks, Apache Spark, or cloud orchestration frameworks.
- Hands-on experience with AI-assisted software development tools and agentic coding workflows, such as Claude Code, OpenAI Codex, or equivalent developer automation utilities.
- Proficiency in Python and software engineering practices, including version control, CI/CD, API design, Docker/Kubernetes containerization, and automated testing.
Nice To Haves
- Experience architecting and deploying Databricks Genie spaces, semantic data models, or conversational BI solutions.
- Experience in regulated healthcare data domains, such as HIPAA compliance, clinical terminology, claims processing, or electronic health records.
- Experience establishing model governance, automated monitoring, and responsible AI guardrails in mission-critical applications.
- Background in natural language processing, large language models, retrieval-augmented generation, and agentic workflow orchestration.
Responsibilities
- Design, develop, and deploy production-ready AI/ML models and automated engineering workflows for healthcare data and operational challenges.
- Train, fine-tune, evaluate, and monitor machine learning and deep learning models using structured, unstructured, and multimodal healthcare datasets.
- Build scalable end-to-end data pipelines and workflow orchestration solutions, integrating tools such as Databricks Genie for conversational data analytics and automated insight generation.
- Use enterprise-approved AI engineering and coding tools, including Claude Code and Codex, to accelerate development, automate routine work, and optimize code quality.
- Apply responsible AI principles and ensure AI-assisted outputs, data handling, and automated decisions meet governance, security, transparency, and accuracy standards.
- Collaborate with software engineers, data architects, and clinical and business stakeholders to integrate AI services into enterprise microservices and distributed applications.
Benefits
- Comprehensive benefits package, subject to eligibility requirements.
- Incentive and recognition programs.
- Equity stock purchase plan.
- 401(k) contribution.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
