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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 solid 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.

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

• Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so

Technical Skillset

• AI/ML Foundations

• 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

• Generative AI & LLM Engineering

• Develop and fine-tune LLM-based applications using LangChain, LangGraph, 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

• LLM Security & Responsible AI

• 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

• Cloud-Native AI Development

• Deploy and manage GenAI solutions on AWS and Google Suite, utilizing services like Bedrock, SageMaker, Vertex AI

• Integrate LLMs with enterprise systems using REST APIs, SDKs, and orchestration tools

• Collaboration & Mentorship

• Work closely with product managers, data scientists, and platform teams to translate business needs into GenAI solutions

Mentor junior engineers and contribute to internal knowledge-sharing initiatives

Required Qualifications:

• Graduate degree or equivalent experience

• 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)

• Solid understanding of LLM security, prompt engineering, and responsible AI practices

• Deep knowledge of statistics, data modeling, and simulation

• Familiarity with CI/CD pipelines, GitHub Actions, and containerization tools

• Proficiency in cloud technologies: Azure (Databricks, ML Studio), AWS Bedrock, Azure Foundry, Kafka, and cloud-native AI services

• Proven excellent problem-solving skills and ability to handle ambiguity

Preferred Qualifications:

• Experience with LLMs (GPT, Gemini, LLaMA) and prompt-based learning

• Internal Data management and Big data handling experience

• Knowledge of Kafka, TensorFlow, and advanced deep learning architectures (CNNs, Autoencoders)

• Solid understanding of Agile methodologies and DevOps practices

At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.