IT Digital Ops & Supply Chain Data Co-Op

IT Digital Ops & Supply Chain Data Co-Op

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 the mission. The site in Round Rock, TX is seeking an IT Digital Ops & Supply Chain Data Co-Op to join our team for the Spring 2027 season. This assignment is intended to be 6 months in duration.

The IT Digital Ops & Supply Chain Data Co-Op will join the Digital Operations & Supply Chain organization and work closely with data, analytics, AI, and business teams to support enterprise digital transformation initiatives. The position provides hands-on experience developing and testing APS AI Agents, MCP-enabled Data Operations Agents, intelligent automation solutions, and data-driven business capabilities that improve operational efficiency and decision-making across Supply Chain and Manufacturing functions.

The Co-Op will contribute to AI and Agentic AI projects involving data orchestration, enterprise integrations, analytics, and automation while gaining exposure to modern platforms, cloud technologies, and enterprise-scale data management practices. The role will also support selected Master Data Management (MDM) initiatives to help ensure trusted, high-quality data is available for AI, analytics, and business processes. This position offers a unique opportunity to work on emerging AI technologies and directly contribute to strategic initiatives that support Entegris' digital transformation roadmap.

What You'll Do:

• Develop and Support AI Agents: Design, build, test, deploy, and enhance AI-powered business agents supporting Digital Operations and Supply Chain functions, including prompt engineering, workflow validation, proof-of-concepts, and business adoption activities.
• Data Engineering, Integration & Automation: Develop MCP-enabled data agents and support enterprise data access, orchestration, automation, integrations, data pipelines, profiling, transformation, enrichment, monitoring, and analytics workloads.
• Analytics & Master Data Management: Build dashboards, KPIs, and reporting capabilities to measure agent performance and business outcomes while supporting data quality, governance, reference data, and AI-driven master data use cases.
• Testing, Documentation & Knowledge Management: Validate AI agents, data pipelines, integrations, and automation workflows; maintain architecture diagrams, development artifacts, operational procedures, and training documentation.
• Innovation & Continuous Improvement: Research and evaluate emerging AI, agentic framework, MCP, and enterprise automation technologies to identify opportunities for business improvement and adoption.

What We Seek:

• Pursuing a Bachelor's or Master's degree in computer science, Information Systems, Data Analytics, Data Science, Artificial Intelligence, Software Engineering, Supply Chain Analytics, or a related technical field.
• Previous internship, co-op, academic project, or hands-on experience in one or more of the following areas is preferred: Artificial Intelligence (AI) or Machine Learning, Data Engineering or Data Analytics, Software Development Cloud Technologies, Enterprise Data Management, Automation and Workflow Development.
• Preferred certifications or coursework: Microsoft AI Fundamentals (AI-900) Microsoft Azure Fundamentals (AZ-900) Google Cloud Digital Leader or Generative AI coursework, Data Analytics, Python, Machine Learning, or Cloud Computing certifications, Academic coursework related to AI, Data Engineering, or Software Development.

Desired Major(s) & Graduation Year:

• Computer Science, Artificial Intelligence / Machine Learning, Data Science, Data Analytics, Information Systems, Software Engineering, Computer Engineering, Data Engineering, Cloud Computing, Supply Chain Analytics (with strong technical background)
• Desired Graduation Year: Current Sophomore, Junior, Senior, Master's student, or Ph.D. candidate
• Expected graduation between Spring 2027 and Spring 2028

Eligibility:

• Must be a currently enrolled student
• Available to work 40 hours a week, M-F (8a-5p) beginning in January through June
• Must be familiar with the university's requirements to participate in a co-op program
• Entegris is not currently hiring candidates for co-ops/internships who will need, now or at any time in the future, Entegris sponsorship through the H1-B lottery.

PHYSICAL REQUIREMENTS: This is primarily a computer-based office role with no unusual physical requirements. Candidates should be able to perform standard office activities, including prolonged computer use, virtual collaboration, and participation in meetings and presentations.

WHY WORK AT ENTEGRIS? Lead. Inspire. Innovate. Define Your Future.?Not everyone who works for a global company shares the same background, experiences and perspectives. We leverage the differences of our employees to bring new ideas to the table. Every employee throughout the company is encouraged to share input on projects and initiatives. Our decision-making process is truly a collaborative effort as we realize there are leaders at every level of the organization. We put our values at the core of how we operate as an organization not just when it's convenient, but in a lasting and meaningful way. We want the time and energy you spend here to have a positive impact on your life inside and outside of the office.

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: $20-$30/hour range with actual pay dependent on candidate overall skills for the role

Values-driven culture with colleagues that rally around People, Accountability, Creativity and Excellence 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.