[Hiring] AI Engineer @UnitedHealth Group

Role Description

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.

Primary 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.

Qualifications

• 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.

Preferred Qualifications

• 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.

Benefits

• Comprehensive benefits package.
• Incentive and recognition programs.
• Equity stock purchase.
• 401k contribution (all benefits are subject to eligibility requirements).

Application Deadline

This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants.