Senior Principal, AI Product Owner – LLMs

🕒 il y a 27 jours

🌽 Illinois, Kentucky, +2 états de plus – Distant

🌽 Illinois – Remote 🐎 Kentucky – Remote 🍂 Massachusetts – Remote 🤠 Texas – Remote

💵 $175 000 - $230 000 / an

⏰ Temps Plein

🟠 Senior

✅ Responsable Produit

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Entegris

Site WebLinkedInTous les Emplois

5001 - 10000 employés

Intelligence artificielle (AI), réalité augmentée (AR), Internet des Objets (IoT) : il ne s’agit pas seulement de tendances, mais de moteurs qui transforment la vie des populations à travers le monde. Avec ces nouveaux moteurs et l’accélération de l’innovation, les attentes portent sur des technologies de meilleure qualité, plus performantes et disponibles plus rapidement.

Description

• Own the roadmap for generative AI products built on LLMs — enterprise copilots, retrieval-grounded knowledge assistants, document and contract intelligence, summarization, and search across supply chain content. • Partner with engineering on RAG architectures, prompt design, embeddings/vector retrieval, fine-tuning/grounding, and orchestration. • Define evaluation suites for accuracy, relevance, hallucination, and safety, and curate golden datasets and source-of-truth knowledge. • Manage cost and token economics against value, and drive adoption and user trust. • Champion the data-quality standards, metadata, and master data your products depend on, and drive readiness assessments before solutions move to production. • Stand up and scale the capability within Entegris’ AI, Data & Digital Enablement function — reusable patterns, playbooks, reference architectures, and evaluation frameworks. • Mentor product owners and analysts, grow AI literacy, and cultivate a community of practice that lets delivery scale across the organization. • Define and operationalize Responsible AI governance — risk, security, data and IP protection, model/solution oversight, audit trails, and compliance — aligned to Entegris policy and emerging AI regulation. • Build business cases, prioritize by ROI, and instrument value tracking against clear baselines (cost-to-serve, working capital, cycle time, quality, and service).

🎯 Exigences

• Strong command of LLM solution patterns — RAG, prompt engineering, embeddings, evaluation, and grounding/guardrails. • 15 + years in enterprise data, software development practices and/or product management/ownership, including 4+ years delivering AI/ML or data products, with a track record of taking solutions to scaled production. • Demonstrated experience assessing and improving data readiness for AI — quality, lineage, metadata, and accessibility. • Proven success building a new capability or practice and scaling it across an organization. • Experience establishing AI governance, risk, and Responsible AI controls. • Track record of value creation — connecting AI products to quantified business outcomes. • Excellent stakeholder leadership and executive communication; able to influence senior business and technical leaders. • Bachelor’s degree in a relevant field; advanced degree a plus.

🏖️ Avantages

• Generous 401(K) plan with an impressive employer match • Excellent health, dental and vision insurance packages to fit your needs • Flexible work schedule and 11 paid holidays a year • Paid time off (PTO) policy that empowers you to take the time you need to recharge • Education assistance to support your learning journey • Values-driven culture with colleagues that rally around People, Accountability, Creativity and Excellence.