Director, AI & Process Solutions

Posted 2 Days Ago
Be an Early Applicant
3 Locations
Remote
184K-246K Annually
Expert/Leader
Artificial Intelligence • Internet of Things
The Role
Lead development and deployment of AI and digital process solutions for R&D and manufacturing. Define AI roadmaps (LLMs, knowledge graphs, digital twins), scale scientific copilots and autonomous workflows, enable process modeling and scale-up, establish model governance, and build a cross-functional AI/ML and process systems team to drive data-driven decision making across product and process development.
Summary Generated by Built In

Job Title:

Director, AI & Process Solutions

Job Description:

Here at Entegris, we use advanced science to enable technologies that transform the world, and we are seeking employees who have the drive to continue that mission.

The Role:

We are seeking a highly capable Director, AI & Process Solutions, to join our Digital Innovation team in the Technology and Innovation organization of Materials Solutions (MS) business. This director-level role supports all MS business units and functional groups by leading the development and deployment of AI, digital engineering solutions, and intelligent process systems that accelerate scientific discovery, product development, scale-up, and data-driven decision making. 

This role will transform how scientists and engineers discover, analyze, and act on knowledge across MS R&D. You will define the roadmap for AI-enabled scientific and engineering workflows, including scientific copilots, intelligent assistants, autonomous designs, knowledge management, semantic search, knowledge graphs, SBU-specific scientific language models, digital twins, analytical digital enablement, and process scale-up procedures. 

You will work in close partnership with business leaders, scientists, engineers, product development, process development, manufacturing, quality, and external partners to identify high-value opportunities, scale AI and digital process systems, support technology transfer and scale-up, and enable data-driven decision making from research through process development and manufacturing. The ideal candidate brings strong technical depth, strategic leadership, and the ability to bridge AI, process systems, scientific workflows, and business value realization. 

 

What You’ll Do:

  • Define the AI, machine learning, generative AI, agentic workflow, and process systems strategy across Materials Division R&D, including knowledge management, semantic search, knowledge graph, and SBU-specific scientific language models. 

  • Build and maintain the roadmap for AI-enabled scientific and engineering solutions across all MS business units and functional groups. 

  • Lead the deployment of scientific copilots, intelligent assistants, autonomous workflows, and AI-enabled decision-support solutions that improve how scientists and engineers discover, analyze, and act on knowledge. 

  • Define and advance capabilities in process simulation, digital twins, analytical measurement, process characterization, and scientific workflow digitization to improve scientific understanding and accelerate product and process development. 

  • Identify, prioritize, and scale high-value AI and digital process opportunities across molecular discovery, materials design, formulation development, analytical sciences, product development, process development, quality, scale-up, process control, manufacturing readiness, and product performance. 

  • Partner with product, process, manufacturing, quality, and engineering teams to build reusable process knowledge, scientific knowledge assets, and AI-enabled decision frameworks that strengthen organizational learning. 

  • Support the transition of mature AI models, process models, digital twins, analytical capabilities, and scientific workflows from research into product development, process development, scale-up, and manufacturing environments. 

  • Apply AI and advanced analytics to improve process understanding, process characterization, scale-up risk assessment, root-cause analysis, process optimization, yield, process robustness, and manufacturability. 

  • Establish and maintain AI governance, risk management, model lifecycle management, validation standards, cybersecurity alignment, and responsible AI practices across MS. 

  • Drive adoption of AI and digital process systems 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 while fostering a culture of innovation, collaboration, and continuous learning. 

What We Seek:

  • 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. 

  • Demonstrated 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 with the ability to communicate complex technical strategies to scientific, engineering, functional, and business leadership audiences. 

  • 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. 

 

What We Offer:

Our total rewards package goes above and beyond just a paycheck. Whether you’re looking to build your career, improve your health, or protect your wealth, we offer generous benefits to help you achieve your goals.

  • Compensation: $184,000.00-$245,500.00 a year range with actual pay dependent on candidate overall skills for the role

  • Annual bonus eligible

  • Progressive paid time off policy that empowers you to take the time you need to recharge

  • Generous 401(K) plan with an impressive employer match with no delayed vesting 

  • Excellent health, dental and vision insurance packages to fit your needs

  • Education assistance to support your learning journey

  • A values-driven culture with colleagues that rally around People, Accountability, Creativity and Excellence

  • Company anticipates the application window closing approximately 5 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require Company to shorten or extend the application window

Entegris does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need Entegris immigration sponsorship (e.g., H1B, TN, STEM OPT, etc.) now or in the future.

At Entegris we are committed to providing equal opportunity to all employees and applicants. Our policy is to recruit, hire, train, and reward employees for their individual abilities, achievements, and experience without regard to race, color, religion, sexual orientation, age, national origin, disability, marital or military status.

Skills Required

  • M.S. or Ph.D. in Computer Science, Data Science, AI, Chemistry, Materials Science, Chemical Engineering, or related discipline
  • 10+ years progressive experience in AI/ML, advanced analytics, computational science, process modeling, digital engineering, or digital innovation in R&D or manufacturing
  • Demonstrated experience leading multidisciplinary technical teams and delivering scalable AI, analytics, modeling, or digital process solutions
  • Strong understanding of machine learning, generative AI, large language models, scientific language models, and agentic workflows
  • Experience with knowledge graphs, semantic search, and retrieval-augmented generation
  • Working knowledge of process modeling, simulation, digital twins, analytical measurement, and scientific workflow digitization
  • Experience translating business and scientific challenges into practical AI-enabled solutions with measurable outcomes
  • Experience applying AI or advanced analytics to product development, process development, scale-up, manufacturing support, or quality
  • Strong understanding of AI governance, model validation, lifecycle management, cybersecurity, and risk management
  • Strong executive communication, stakeholder management, and influencing skills
  • Experience in semiconductor materials, specialty chemicals, advanced materials, formulations, or analytical sciences
  • Publications, patents, or significant contributions in AI, machine learning, process systems, or scientific computing

Entegris Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Entegris and has not been reviewed or approved by Entegris.

  • Fair & Transparent Compensation Pay is considered competitive or slightly above industry standards in several roles, with some calling compensation very fair or great. Feedback suggests overtime opportunities in certain manufacturing roles further enhance earnings.
  • Retirement Support Retirement programs feature a strong company 401(k) match and additional savings vehicles that employees value. Feedback suggests these offerings meaningfully bolster total compensation.
  • Leave & Time Off Breadth Time-off policies are described as good, with PTO that can increase with tenure and unlimited PTO available in some roles. Paid parental leave and holidays add to the overall breadth.

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The Company
HQ: Billerica, MA
5,786 Employees

What We Do

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. Every day, and for more than 50 years, Entegris’ singular mission has been to help customers utilize our advanced science-based solutions to support demand drivers; to innovate faster and more efficiently; and ultimately to transform the world. Through the power of our solutions and technology expertise, Entegris provides customers with innovative, science-based solutions to their toughest technology challenges. Headquartered in Billerica, Massachusetts, Entegris employs approximately 5,800 people worldwide, with roughly half employed in Asia-Pacific or Europe. With research and development, customer service, analytical labs, and manufacturing in Asia-Pacific, North America and Europe, Entegris supports customers around the globe as they take technology to the next level.

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