Sr AI/ML Engineer

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.

Primary Responsibilities:

Snowflake

• Strong SQL skills (complex joins, CTEs, window functions).
• Experience working with large, enterprise-scale semi structured datasets.
• Understanding of Snowflake concepts like warehouses, performance optimization, and cost management.
• Experience building analytics-ready data models (facts, dimensions, proper grain).
• Knowledge of data security, roles, and access controls.

Power BI

• Strong experience in Power BI report and dashboard development.
• Strong DAX (time intelligence, KPIs, trend and driver analysis).
• Semantic model design (not just visuals).
• Performance optimization (Import vs DirectQuery, model size, cardinality).
• Experience with deployment pipelines, security (RLS), and production support
  
  Gen AI (Applied to Analytics)
• Good understanding of Generative AI concepts like Agentic AI, RAG, Prompt Engg etc
• Experience using GenAI for:
  • Insight generation and explanations
  • Trend and anomaly interpretation
  • Narrative and business-friendly summaries
• Familiarity with LLMs (Azure OpenAI or similar).
• Ability to design prompts and validate AI outputs.
• Clear understanding of limitations and guardrails for enterprise use.
  
  AI / ML Techniques
• Working knowledge of ML concepts (regression, classification, clustering).
• Experience applying ML to real business problems (e.g., drivers, anomalies, predictions).
• Hands-on experience with Python for analysis/modeling preferred.

• Ability to explain model outcomes in simple business terms.

   

Required Qualifications:

• Bachelor’s degree in Computer Science, Engineering, Data Science, Artificial Intelligence, or a related quantitative field; advanced degree preferred
• 8+ years of overall experience across AI/ML engineering, data engineering, and analytics roles, with demonstrated ownership of production grade ML systems
• Hands-on experience with BI and analytics tools, such as Power BI, Tableau, or equivalent enterprise BI platforms, including semantic models, KPIs, and analytical dashboards
• Solid hands-on experience designing, building, and deploying machine learning and generative AI solutions using Python based ML/DL frameworks (e.g., scikit learn, PyTorch, TensorFlow)
• Experience integrating AI/ML outputs into BI and decisioning workflows, including explainable insights, forecasting, and predictive metrics for business users 
• Proven experience across the end to end ML lifecycle, including data preparation, feature engineering, model training, evaluation, deployment, and monitoring (MLOps)
• Solid understanding of data modeling, metrics definition, and analytical layer design, enabling translation of business KPIs into ML ready features and AI driven insights
• Advanced proficiency in SQL and experience working with large scale analytical datasets in data warehouses or lakehouse environments

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.