Senior Principal, AI Product Owner – LLMs

🕒 vor 28 Tagen

🌽 Illinois, Kentucky, +2 weitere Bundesländer – Remote

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

💵 $175.000 - $230.000 / Jahr

⏰ Vollzeit

🟠 Senior

✅ Produktmanager

🦅 H1B-Visum-Sponsor

Dieses Unternehmen hat in der Vergangenheit H1B-Visa gesponsert.

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Entegris

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5001 - 10000 Mitarbeiter

Artificial Intelligence (AI), Augmented Reality (AR), Internet of Things (IoT) – das sind nicht nur Trends, sondern Treiber, die das Leben von Menschen weltweit verändern. Mit diesen neuen Treibern und der steigenden Innovationsgeschwindigkeit wächst die Erwartung an Technologien mit höherer Qualität und Leistungsfähigkeit – und das in immer schnellerem Tempo.

Beschreibung

• 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).

🎯 Anforderungen

• 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.

🏖️ Vorteile

• 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.