Senior Principal, AI Product Owner – LLMs

This is a fully remote position, open to applicants in Illinois, +3 more states.

📋 Description

• Lead the strategic roadmap for generative AI products utilizing LLMs, including enterprise copilots, retrieval-grounded knowledge assistants, document and contract intelligence, summarization, and supply chain content search.

• Collaborate with engineering teams on RAG architectures, prompt design, embedding/vector retrieval, fine-tuning/grounding, and orchestration.

• Establish evaluation frameworks for accuracy, relevance, hallucination, and safety, while curating golden datasets and maintaining source-of-truth knowledge.

• Oversee cost management and token economics relative to value, promoting user adoption and trust.

• Advocate for the data quality standards, metadata, and master data essential to your products, and conduct readiness assessments before solutions are deployed to production.

• Develop and expand capabilities within Entegris’ AI, Data & Digital Enablement function, creating reusable patterns, playbooks, reference architectures, and evaluation frameworks.

• Mentor product owners and analysts, enhance AI literacy, and foster a community of practice to scale delivery across the organization.

• Define and implement Responsible AI governance encompassing risk, security, data and IP protection, model/solution oversight, audit trails, and compliance in alignment with Entegris policy and emerging AI regulations.

• Construct business cases, prioritize initiatives based on ROI, and track value against established baselines (cost-to-serve, working capital, cycle time, quality, and service).

⛳️ Requirements

• In-depth understanding of LLM solution patterns, including RAG, prompt engineering, embeddings, evaluation, and grounding/guardrails.

• Over 15 years of experience in enterprise data, software development practices, or product management/ownership, with at least 4 years in delivering AI/ML or data products and a proven record of scaling solutions to production.

• Demonstrated ability to assess and enhance data readiness for AI, focusing on quality, lineage, metadata, and accessibility.

• Proven track record in establishing and scaling new capabilities or practices across an organization.

• Experience in setting up AI governance frameworks, risk management, and Responsible AI controls.

• History of creating value by linking AI products to measurable business outcomes.

• Exceptional stakeholder leadership and executive communication skills; capable of influencing senior business and technical leaders.

• Bachelor’s degree in a relevant discipline; advanced degree is advantageous.

🏝️ Benefits

• Generous 401(K) plan with an impressive employer match.

• Excellent health, dental, and vision insurance packages tailored to meet your needs.

• Flexible work schedule and 11 paid holidays annually.

• Paid time off (PTO) policy that empowers you to take the necessary time to recharge.

• Education assistance to support your ongoing learning journey.

• Values-driven culture with colleagues who are committed to People, Accountability, Creativity, and Excellence.