You'll own complex AI initiatives end to end: partnering with applied science and engineering to shape architecture and integrated customer solutions — model selection, retrieval-augmented and agentic pipelines, prompt and tooling design, and safety guardrails. You'll drive the roadmap, schedules, and staging and release plans against clear objectives; lead governance across the AI development lifecycle (Responsible AI review, model-risk, privacy, and compliance); and validate outcomes against real telemetry. You'll own the customer supportability experience and act as a trusted technical person who evangelizes and drives the right work. Bachelor's Degree in Computer Science, Information Technology (IT), or related field AND 5+ years technical support, technical consulting experience, or information technology experience OR equivalent experience. 8+ years of experience in Technical Program Management, Product Management, or a related field, including 2+ years delivering AI/ML, Generative AI, or data-intensive products to production. These requirements include, but are not limited to the following specialized security screenings: Bachelor's Degree in Computer Science, Information Technology, or related field AND 12+ years of technical support, technical consulting experience, or information technology experience OR equivalent experience. Industry IT-Based Certifications (e.g. Comp-TIA, CCNA, ISC2) Demonstrated success leading complex cross-functional programs, managing multiple stakeholders, and driving execution through influence without direct authority. Hands-on knowledge of the AI/ML product lifecycle, including data preparation, model training/fine-tuning, prompt engineering, evaluation, deployment, and production monitoring. Proven ability to evaluate and optimize model performance, balancing quality, latency, scalability, and cost across RAG, agent-based, or LLM-powered solutions. Experience defining and implementing Responsible AI, model governance, risk management, and compliance practices throughout the product lifecycle. Strong written and verbal communication skills, with a track record of translating complex technical concepts into actionable business outcomes for technical and non-technical audiences.