AI Engineer - AI/ML

UnitedHealth Group•Minnetonka, MN

13h•$98,500 - $176,000•Hybrid

About The Position

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. We are seeking a highly skilled and motivated AI/ML Engineer to lead innovations 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. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office for a minimum of four days per week. You will enjoy the flexibility to telecommute from anywhere within the U.S. as you take on some tough challenges.

Requirements

Bachelor's degree in CS or IT related field
5+ years of hands-on experience in AI/ML techniques like Prompt Engineering, RAG (Retrieval Augmented Generation) and Agentic AI
5+ years of experience and strong expertise in Python, PySpark, T-SQL, SQL, and big data technologies (Hadoop, Spark)
2+ years of experience in statistics, data modeling, and simulation
1+ years of experience with Generative AI frameworks/architectures (LangChain, HuggingFace, OpenAI APIs)
1+ years of experience with any one of the cloud technologies: Azure (Databricks, ML Studio), AWS Bedrock, Azure Foundry, Kafka, GCP, and cloud-native AI services
1+ years of experience with CI/CD pipelines, GitHub Actions, and containerization tools
1+ years of experience with LLM security, prompt engineering, and responsible AI practices

Nice To Haves

Experience with LLMs (GPT, Gemini, LLaMA) and prompt-based learning
Knowledge of Kafka, TensorFlow, and advanced deep learning architectures (CNNs, Autoencoders)
Strong understanding of Agile methodologies and DevOps practices
Internal Data management and big data handling experience
Excellent problem-solving skills and ability to handle ambiguity

Responsibilities

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, LangChain), 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 GitHub/Git
Ensure compliance with security and governance standards for healthcare data
Coach and mentor junior team members.
Design, develop, and deploy AI-powered solutions to address complex business challenges with emphasis on responsible use of AI