Optum Tech, part of UnitedHealth Group, seeks a Data Engineer with deep AI/ML expertise to architect and build intelligent data solutions for our AI 10.0 initiative. In this role, you will blend data engineering and automation with advanced AI techniques like LLMs and agentic frameworks to deliver high-impact solutions for healthcare and insurance datasets.
What You'll Do
- Design and develop AI-driven solutions using LLMs to automate claims adjudication processes
- Build and optimize prompt engineering strategies for LLM-based applications
- Implement and integrate agentic frameworks to enable autonomous decision-making workflows
- Architect and deploy scalable data pipelines and AI workflows leveraging Python and related technologies
- Collaborate with cross-functional teams to ensure compliance with healthcare data standards and Responsible AI principles
- Contribute to model development, evaluation, and fine-tuning for production environments
- Mentor junior engineers and foster knowledge-sharing within the team
- Work independently to deliver innovative solutions aligned with business objectives
- Design, develop, and deploy AI-powered solutions to address complex business challenges with emphasis on the responsible use of AI
What We're Looking For
- Bachelor’s Degree in CS or an IT-related field
- 5+ years of hands-on experience in data engineering and backend automation
- 5+ years of experience in Python, PySpark (Databricks), T-SQL, SQL, and big data technologies like Hadoop and Spark
- 5+ years of experience with ETL tools, workflow orchestration (Airflow), and data warehousing (Snowflake or similar)
- 1+ years of experience in any one of the cloud technologies like Azure ML Studio, AWS, or GCP
- 1+ years of experience with CI/CD pipelines, GitHub Actions, and containerization tools like Docker
- 1+ years of experience with Agile methodologies and DevOps practices
- 6+ months of experience with Generative AI frameworks/architectures (LangChain, HuggingFace, OpenAI APIs)
- 6+ months of experience with AI/ML concepts including Generative AI, LLMs (GPT, Gemini, LLaMA), and prompt engineering
Nice to Have
- Understanding of Responsible AI principles and engineering best practices
- Familiarity with healthcare or health insurance domain data and compliance standards
- Excellent problem-solving skills and ability to handle ambiguity
Technical Stack
- Languages & Frameworks: Python, PySpark, Databricks, T-SQL, SQL
- Big Data & Orchestration: Hadoop, Spark, ETL tools, Airflow
- Data Platforms: Snowflake
- Cloud: Azure ML Studio, AWS, GCP
- DevOps & Tools: CI/CD pipelines, GitHub Actions, Docker
- AI/ML: Generative AI frameworks, LangChain, HuggingFace, OpenAI APIs, LLMs, GPT, Gemini, LLaMA
Benefits & Compensation
- Compensation range: $72,800 to $130,000 annually
- Comprehensive benefits package
- Incentive and recognition programs
- Equity stock purchase
- 401k contribution
Work Mode
This position is hybrid and open to candidates located in the United States.
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.
