Data Engineer with AI/ML
About The Position
Optum is seeking a highly skilled and motivated Data Engineering Analyst with AI/ML expertise to support the AI 10.0 initiative. The role combines data engineering, automation, and cloud-native development with practical experience in AI/ML, large language models (LLMs), prompt engineering, and agentic frameworks. The successful candidate will architect, build, and optimize intelligent data workflows; develop and fine-tune models; and collaborate across teams to deliver solutions for healthcare and insurance datasets. The position focuses on designing and deploying AI-driven solutions, including LLM-based claims adjudication automation, scalable data pipelines, and autonomous decision-making workflows. It also involves model development and evaluation, collaboration on healthcare data standards and Responsible AI, and mentoring junior engineers. The role is remote within the U.S., except hires in the Minneapolis or Washington, D.C. area must work in the office at least four days per week. Telecommuters must adhere to UnitedHealth Group’s Telecommuter Policy.
Requirements
- Bachelor’s degree in computer science or an IT-related field.
- At least 5 years of hands-on experience in data engineering and backend automation.
- 5 years of experience with Python, PySpark (Databricks), T-SQL, SQL, and big data technologies such as Hadoop and Spark.
- 5 years of experience with ETL tools, workflow orchestration such as Airflow, and data warehousing such as Snowflake or similar.
- At least 1 year of experience with a cloud technology such as Azure (ML Studio), AWS, or GCP.
- At least 1 year of experience with CI/CD pipelines, GitHub Actions, and containerization tools such as Docker.
- At least 1 year of experience with Agile methodologies and DevOps practices.
- At least 6 months of experience with generative AI frameworks or architectures such as LangChain, HuggingFace, or OpenAI APIs.
- At least 6 months of experience with AI/ML concepts, including Generative AI, LLMs (GPT, Gemini, or LLaMA), and prompt engineering.
- Pass a drug test before beginning employment.
Nice To Haves
- 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.
Responsibilities
- Design and develop AI-driven LLM solutions to automate claims adjudication processes.
- Build and optimize prompt-engineering strategies for LLM-based applications.
- Implement and integrate agentic frameworks for autonomous decision-making workflows.
- Architect and deploy scalable data pipelines and AI workflows using 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 for complex business challenges, emphasizing responsible use of AI.
Benefits
- Comprehensive benefits package, subject to eligibility requirements.
- Incentive and recognition programs, subject to eligibility requirements.
- Equity stock purchase, subject to eligibility requirements.
- 401(k) contribution, subject to eligibility requirements.
- Career development opportunities.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
