AI/ML Engineer

Requisition Number: 2386250
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.
Design, develop, and optimise AI-powered analytics solutions leveraging Large Language Models (LLMs), semantic layers, and agent-based architectures. This role focuses on enabling natural-language interactions with enterprise data through robust semantic modelling, AI orchestration, and evaluation frameworks while ensuring accurate, explainable, and trustworthy AI outcomes.
Primary Responsibilities:

• Build and optimise semantic models, curated query sets, and business metadata layers to improve Natural Language-to-SQL accuracy and analytics experiences
• Design, develop, and orchestrate LLM-powered agents, including tool calling, workflow orchestration, and custom analytical tools
• Implement RAG (Retrieval Augmented Generation) patterns to improve grounding, relevance, and response quality
• Develop frameworks to evaluate AI systems for accuracy, groundedness, explainability, latency, and hallucination detection
• Design prompt engineering strategies, testing methodologies, and tuning approaches to maximise model effectiveness
• Work closely with Data Engineering and Product teams to integrate AI solutions with Snowflake, semantic models, and enterprise data platforms
• Develop reusable AI services, APIs, utilities, and evaluation pipelines using Python and modern AI frameworks
• Support governance and responsible AI practices, including traceability, transparency, and model performance monitoring
• 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

Required Qualifications:

• Fulltime graduation degree
• 6+ years of experience in AI/ML, Data Engineering, Analytics Engineering, or related disciplines
• Hands-on experience with LLMs, prompt engineering, RAG architectures, and AI agent frameworks
• Experience building and integrating APIs, analytical tools, and data-driven AI applications
• Experience designing and validating Natural Language-to-SQL solutions
• Solid understanding of AI evaluation techniques, including accuracy, relevance, grounding, and hallucination assessment
• Solid proficiency in Python, SQL, and data modelling
• Proven excellent analytical, problem-solving, and stakeholder collaboration skills

Preferred Qualifications:

• Experience with Snowflake, Cortex AI, DBT, and semantic layer technologies
• Experience with Azure AI services and cloud-native application development
• Exposure to MLOps, model monitoring, and AI governance frameworks
• Healthcare domain experience and understanding of regulated data environments
• Familiarity with vector databases, embeddings, and retrieval architectures

Ideal Candidate
A hands-on AI Engineer who combines strong data modelling, SQL, LLM engineering, prompt design, agent orchestration, and evaluation expertise to deliver trusted, explainable, and scalable AI-powered analytics solutions.
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.