Senior 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.

Own end-to-end delivery of AI/ML programs across portfolios with accountability for timelines, quality, and business outcomes Lead cross-functional teams (Data Science, ML, Data Engineering, Platform) and manage capacity, hiring, and performance Define execution plan aligned to AI strategy: Roadmaps, milestones, dependencies, and release plans Clear success metrics (ROI, adoption, efficiency, accuracy) Drive AIDLC adoption across teams: Standard processes, governance, and delivery frameworks Consistent model lifecycle management and delivery discipline Ensure stable, scalable production delivery: Oversee architecture, design reviews, and quality standards Ensure reliability, performance, and SLAs Manage stakeholder engagement: Primary interface with business, product, and leadership Align priorities, expectations, and delivery outcomes Govern data, AI, and platform usage: Ensure compliance, security, and responsible AI practices Track and control program-level risks Own cost and budget management: Optimize resource allocation and tool usage Monitor program-level cost vs value Drive engineering excellence and team productivity: Agile, DevOps practices Standardization and reuse across teams Deliver measurable outcomes: On-time delivery Business impact (revenue, efficiency, adoption) Team velocity and quality Scientist Responsibilities: Collaborate with research, engineering, and product teams to translate cutting-edge AI advancements into production-ready capabilities. Uphold ethical AI principles by embedding fairness, transparency, and accountability 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 regard 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: Bachelor's or Master's in Computer Science / AI / Data Science / Engineering or related field Experience & Skills 16+ years; solid delivery leadership in AI/ML programs Proven team management and stakeholder influence Broad technical expertise across AI, data, and platforms Technical Skills Programming: Python, SQL AI/ML: ML models, deep learning (PyTorch / TensorFlow) Generative AI: LLMs, RAG, prompt engineering, vector databases Agentic AI: Multi-agent frameworks, orchestration, tool integration Data Handling: Feature engineering, data pipelines, experimentation Cloud Platforms: Azure / AWS / GCP Optimization: Token usage, model selection, cost-performance tuning Tools: Experimentation frameworks, AI toolchains, prototyping platforms Solid ability to drive execution with partial ownership of delivery Good hands-on technical depth in AI/ML systems Ability to manage teams while contributing technically Solid communication and coordination skills Collaborate with research, engineering, and product teams to translate cutting-edge AI advancements into production-ready capabilities. Uphold ethical AI principles by embedding fairness, transparency, and accountability