Data Engineering Scientist AI​/ML - Remote

Data Engineering Scientist with AI/ML - 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.

UHC Technology is focused on driving change, modernization, and ensuring reliable and stable systems so that we can help to transform health care – making it easier, more affordable, and more effective for those we serve. We are passionate about technology and the role it plays to create distinctive experiences for our constituents. While we are always focused on how technology can help us deliver faster and with improved quality, we are far more enthusiastic about the ways technology can reinvent how we deliver on our mission in partnership with the UHC lines of business and Optum Technology.

We are seeking a highly skilled and motivated AI/ML Engineer to lead innovation in claims adjudication through advanced Generative AI solutions. This role emphasizes Large Language Models (LLMs), agentic frameworks, and prompt engineering to automate complex workflows. You will design and deploy secure, scalable, and responsible AI systems while collaborating across teams to deliver measurable impact.

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.

• Design, develop, and deploy AI/ML and Generative AI models for predictive, prescriptive, and generative analytics across healthcare datasets
• Implement advanced architectures including LLMs (GPT, Gemini, LLaMA), Retrieval-Augmented Generation (RAG), and Agentic Frameworks
• Build and optimize end‑to‑end pipelines using Python (Sci-kit Learn, Pandas, Flask, Lang Chain), PySpark, T‑SQL and SQL
• Develop and fine‑tune multiple GenAI models for NLP, summarization, prompt engineering, and conversational AI
• Apply MLOps best practices: model versioning, drift analysis, quantization, MLFlow, containerization with Docker, and CI/CD pipelines
• Work with cloud platforms:
  Azure (Databricks, ML Studio, Data Factory, Data Lake, Delta Tables), AWS, and GCP for scalable deployments
• Integrate data warehousing solutions like Snowflake and manage large‑scale data pipelines.
• Collaborate in an Agile environment, participate in sprint planning, and maintain code repositories using Git Hub/Git
• Ensure compliance with security and governance standards for healthcare data
• Coach and mentor junior team members

• Design and implement machine learning and deep learning models for classification, NLP tasks
• Build and maintain end‑to‑end ML pipelines including data preprocessing, model training, evaluation, and deployment
• Develop and fine‑tune LLM‑based applications using Lang Chain, Lang Graph, and other GenAI frameworks
• Build Multi Agentic workflows and RAG (Retrieval‑Augmented Generation) pipelines for enterprise use cases
• Leverage AWS Bedrock and Google Vertex AI for scalable and production‑grade GenAI deployments

• Implement guardrails to prevent prompt injection, reduce hallucinations, and ensure safe model outputs
• Apply best practices for LLM security, including output moderation, access control, and auditability
• Ensure compliance with Responsible AI principles‑fairness, transparency, and explainability

• Deploy and manage GenAI solutions on AWS and Google Suite, utilizing services like Bedrock, Sage Maker, Vertex AI
• Integrate LLMs with enterprise systems using REST APIs, SDKs, and orchestration tools
• Work closely with product managers, data scientists, and platform teams to translate business needs into GenAI solutions
• Mentor junior engineers and contribute to internal…