
5001 - 10000 employees
Artificial intelligence, augmented reality, Internet of Things – these are not just trends, they are drivers changing the way people live across the globe. With these new drivers and the increasing speed of innovation, there comes an expectation for higher-quality, higher-performing technologies at a faster pace.
🔥 10 minutes ago
🦌 Connecticut, Massachusetts, +1 more states – Remote
💵 $184k - $245.5k / year
⏰ Full Time
🔴 Lead
🤖 Artificial Intelligence
🦅 H1B Visa Sponsor
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5001 - 10000 employees
Artificial intelligence, augmented reality, Internet of Things – these are not just trends, they are drivers changing the way people live across the globe. With these new drivers and the increasing speed of innovation, there comes an expectation for higher-quality, higher-performing technologies at a faster pace.
• Define the AI, machine learning, generative AI, agentic workflow, and process systems strategy across Materials Division R&D. • Build and maintain the roadmap for AI-enabled scientific and engineering solutions across all MS business units and functional groups. • Lead deployment of scientific copilots, intelligent assistants, autonomous workflows, and AI-enabled decision-support solutions. • Advance process simulation, digital twins, analytical measurement, process characterization, and scientific workflow digitization. • Identify, prioritize, and scale high-value AI and digital process opportunities across discovery, development, quality, scale-up, process control, manufacturing readiness, and product performance. • Partner with product, process, manufacturing, quality, and engineering teams to build reusable knowledge assets and AI-enabled decision frameworks. • Support transition of mature AI models, process models, digital twins, analytical capabilities, and scientific workflows into development, scale-up, and manufacturing environments. • Apply AI and advanced analytics to improve process understanding, scale-up risk assessment, root-cause analysis, process optimization, yield, robustness, and manufacturability. • Establish AI governance, risk management, model lifecycle management, validation standards, cybersecurity alignment, and responsible AI practices. • Drive adoption through stakeholder engagement, training, communication, change management, and communities of practice. • Build, develop, and lead a high-performing team of AI/ML scientists, data scientists, digital specialists, and process systems experts.
• M.S. or Ph.D. in Computer Science, Data Science, Artificial Intelligence, Chemistry, Materials Science, Chemical Engineering, or related technical discipline • 10+ years of progressive experience in AI/ML, advanced analytics, computational science, process modeling, digital engineering, scientific computing, or digital innovation in R&D-intensive or manufacturing environments • Experience leading multidisciplinary technical teams and delivering scalable AI, analytics, modeling, or digital process solutions across multiple business or functional groups • Strong understanding of machine learning, generative AI, large language models, scientific language models, agentic workflows, retrieval-augmented generation, knowledge graphs, semantic search, and modern AI architectures • Working knowledge of process modeling, simulation, digital twins, analytical measurement, process characterization, scientific workflows, data integration, and model lifecycle practices • Experience translating business and scientific challenges into practical AI-enabled and data-driven solutions with measurable outcomes • Experience applying AI, advanced analytics, or modeling solutions to product development, process development, technology transfer, scale-up, manufacturing support, quality, or industrial R&D environments • Strong understanding of AI governance, responsible AI practices, model validation, cybersecurity considerations, documentation, and risk management • Strong executive communication, stakeholder management, and influencing skills • Experience in semiconductor materials, specialty chemicals, advanced materials, formulations, analytical sciences, advanced manufacturing, or related industrial R&D environments is a plus • Publications, patents, or significant internal contributions in AI, machine learning, process systems, scientific computing, digital engineering, or digital transformation • Must not require Entegris immigration sponsorship now or in the future
• Annual bonus eligible • Progressive paid time off policy • Generous 401(K) plan with an impressive employer match with no delayed vesting • Excellent health, dental and vision insurance packages • Education assistance • A values-driven culture with colleagues that rally around People, Accountability, Creativity and Excellence
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