IT Digital Ops & Supply Chain Data Co-Op

Entegris • Round Rock, TX

2d • Onsite

About The Position

Our 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.

Requirements

• 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.
• Experience with AI projects, agents, LLMs, MCP frameworks, data pipelines, or analytics platforms is highly desirable.
• 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
• Candidates should be able to perform standard office activities, including prolonged computer use, virtual collaboration, and participation in meetings and presentations.

Nice To Haves

• 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
• 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)

Responsibilities

• 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.
• Develop MCP-enabled data agents and support enterprise data access, orchestration, automation, integrations, data pipelines, profiling, transformation, enrichment, monitoring, and analytics workloads.
• 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.
• Validate AI agents, data pipelines, integrations, and automation workflows; maintain architecture diagrams, development artifacts, operational procedures, and training documentation.
• Research and evaluate emerging AI, agentic framework, MCP, and enterprise automation technologies to identify opportunities for business improvement and adoption.

Benefits

• 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
• Generous benefits to help you achieve your goals.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: No Education Listed