Senior Director, Software Engineering & AI

Senior Director, Software Engineering & AI

Join to apply for the Senior Director, Software Engineering & AI role at Entegris

This range is provided by Entegris. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

$/yr - $/yr

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 Senior Director, Software Engineering & AI is a visionary and strategic leader that will lead Entegris wide AI strategy and execution while developing a strong Software engineering arm s role will be responsible for driving innovation, operational efficiency, and driving competitive advantage through the strategic application of AI technologies across our businesses and functions with initial focus in R&D and Engineering domains.

Preferred location for the role is US (Billerica, MA, Aurora, IL or Chaska, MN). Pune, India will also be considered for the right candidate. This role will report to VP, Strategic platforms, Data & AI.

• AI Strategy & Leadership:
  Define and lead multi-year Entegris AI vision & strategy aligned with business goals. Build and manage a high-performing AI team including Software Engineers, data scientists, ML engineers, and AI product managers. Promote AI literacy & evangelize AI adoption across business units and executive leadership.
• Innovation & Execution:
  Be a thought leader & bring outside-in perspective(s), stay abreast of emerging AI technologies and assess their relevance to Entegris, nurture Innovation culture among teams. Identify and prioritize high-impact AI use cases. Oversee a portfolio of AI/ML projects including development and deployment of AI models, ensuring scalability, reliability, and ethical compliance. Collaborate with cross-functional teams to integrate AI into existing platforms and workflows.
• Technology & Architecture:
  Guide the selection and implementation of AI platforms, tools, architecture and infrastructure. Ensure robust data governance, model lifecycle management, and MLOps practices.
• Team & Project Management:
  Build and mentor high-performing teams across AI & Software disciplines. Manage project timelines, budgets, and resources to ensure successful delivery. Promote a culture of experimentation, continuous learning, data & AI literacy. Strategic vendor engagement as deemed necessary.
• Stakeholder Engagement:
  Partner with business & other IT leaders to propose AI solutions to address operational challenges. Foster external partnerships with academia, startups, and technology vendors. Partner with Data, Human Center Design, Security, Infrastructure teams in building robust, scalable and secured AI solutions.

• Have worked in a global team setting with an appreciation to muti-cultural team(s)
• Exceptional strategic thinking and problem-solving abilities, with a strong focus on business value and ROI
• Excellent communication and presentation skills, with the ability to articulate complex AI concepts to both technical and non-technical stakeholders
• Strong leadership presence with a proven ability to influence and drive change across an organization
• Experience with agentic AI systems or autonomous decision-making platforms.
• Familiarity with regulatory and ethical considerations in industrial AI applications.
• Experience working in Agile environment with continuous integration and delivery (CI/CD) pipelines
• A background in managing annual operating plans, budget
• Master’s or Ph.D. in Computer Science, Artificial Intelligence, Data Science, or related field.
• 10+ years of experience in AI/ML, with at least 5 years in a senior leadership role.
• Proven track record of delivering enterprise-level AI and automation solutions at scale, ideally within a manufacturing or industrial environment
• Deep understanding of business functions & industrial processes
• Proficiency in languages like Python and experience with Low-Code and pro-code software development
• Strong knowledge of AI/ML frameworks (e.g., Tensor Flow, PyTorch), Hybrid AI, cloud platforms (AWS, Azure, GCP-Preferred), and data engineering.…