Manager AI/ML Engineering

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

Develop and execute AI/ML, Generative AI, and Agentic AI solutions for Digital Analytics, accelerating measurement, insights, experimentation, and experience optimization across enterprise web and mobile experiences

Apply AI across the Digital Analytics lifecycle, including requirements/BRD creation, technical specifications, data-layer mapping, analytics implementation, QA/UAT, reporting, insights, and optimization

Build AI-enabled capabilities that integrate with the broader Adobe Analytics ecosystem, including Adobe Analytics, CJA, AEP/WebSDK, Adobe Launch, and Adobe Target

Partner with Product, Digital Analytics, Data Engineering, UX, Marketing, and Technology teams to identify and prioritize high-value AI/ML opportunities and translate business problems into scalable technical solutions

Design and engineer GenAI, RAG, Agentic AI, and intelligent automation solutions utilizing LLMs, APIs, structured/unstructured data, vector databases, and enterprise knowledge sources

Develop AI-powered approaches that accelerate customer journey analytics, behavioral insights, experimentation, personalization, anomaly detection, and digital experience optimization

Provide hands-on technical leadership across architecture, prototyping, engineering, deployment, and productionization while continuously evaluating emerging AI models, frameworks, and engineering patterns

Apply Agile, DevSecOps, MLOps, and AIDLC practices to establish secure, governed, automated deployment and monitoring across the AI/ML lifecycle

Comply with all applicable Company policies, procedures, and business directives, changes including those relating to work location, team assignments, work schedules, and flexible work arrangements

Required Qualifications

Master's degree in Computer Science, Engineering, Mathematics, Statistics, Data Science, or a related technical discipline

8+ years of experience across Software Engineering, Data Science, Analytics, or AI/ML Engineering, including 3+ years focused on Generative AI and modern AI engineering

Hands-on experience with OpenAI-compatible LLMs, Claude, Gemini, LangChain/LangGraph, AI Agents, RAG, Vector Databases, Prompt Engineering, and model fine-tuning

Experience with modern data and cloud platforms such as Databricks, Azure, AWS, or GCP, including scalable data processing and AI/ML workloads

Experience with Digital Analytics and customer journey data; knowledge of Adobe Analytics, Customer Journey Analytics (CJA), AEP/WebSDK, Adobe Launch, Adobe Target, or similar digital experience platforms is strongly preferred

Solid knowledge of Python, APIs, data pipelines, model orchestration, MLflow, TensorFlow, PyTorch, Scikit-learn, and production AI engineering practices

Understanding of clickstream data, digital measurement frameworks, customer identity, behavioral analytics, experimentation, personalization, and digital product analytics

Solid understanding of AI governance, security, observability, model evaluation, automated deployment, and responsible AI 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.