AI Engineer - Remote

UnitedHealth Group•Minnetonka, MN

11h•Remote

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 Senior AI Engineer with deep expertise in Generative AI, Large Language Models (LLMs), and cloud-native AI platforms. The ideal candidate will have a strong foundation in AI/ML, hands-on experience with LangChain, LangGraph, and familiarity with AWS Bedrock and Azure AI Foundry. This role involves building secure, scalable, and responsible GenAI solutions while collaborating across teams to drive innovation and 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. You’ll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.

Requirements

5+ years of hands-on experience in AI/ML techniques like Prompt Engineering , RAG (Retrieval Augmented Generation) and Agentic AI
Hands-on experience with Generative AI frameworks/architectures (LangChain, HuggingFace, OpenAI APIs)
Solid expertise in Python, PySpark, T-SQL, SQL, and big data technologies (Hadoop, Spark)
Deep knowledge of statistics, data modeling, and simulation
Proficiency in cloud technologies: Azure (Databricks, ML Studio), AWS Bedrock, Azure Foundry, Kafka, and cloud-native AI services
Familiarity with CI/CD pipelines, GitHub Actions, and containerization tools
Solid understanding of LLM security, prompt engineering, and responsible AI practices
Proven excellent problem-solving skills and ability to handle ambiguity

Nice To Haves

Internal Data management and Big data handling experience
Experience with LLMs (GPT, Gemini, LLaMA) and prompt-based learning
Knowledge of Kafka, TensorFlow, and advanced deep learning architectures (CNNs, Autoencoders)
Solid understanding of Agile methodologies and DevOps practices

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