AI Enablement Strategist – New College Graduate

GlobalFoundries

Analyst applying AI technologies to practical business opportunities in HR, Marketing, and Communications at GlobalFoundries. Focused on enabling AI adoption, building accelerators, and driving measurable value.

Posted 4/22/2026full-timeAustin • Texas • 🇺🇸 United StatesEntry LevelWebsite

Tech Stack

Tools & technologies

AWSAzureCloud

About the role

Key responsibilities & impact

Develop AI enablement strategies tailored for HR, Marketing, and Communications workflows.
Identify and prioritize high-impact use cases in forecasting, product, marketing, and planning.
Design and implement proof-of-concepts (POCs) and minimum viable products (MVPs) leveraging GenAI, ML, automation, agents, or other emerging technologies.
Collaborate with relevant business teams to understand their challenges, identify ideal AI-enabled business processes, and develop hands-on prototypes.
Create reusable playbooks, reference architectures, and enablement assets for business teams.
Collaborate with data platform and security teams to ensure secure and governed access to data for AI solutions.
Partner with business teams on change management initiatives, including training and communication for adoption.
Ensure compliance with Responsible AI principles and governance frameworks.

Requirements

What you’ll need

Graduating or graduated with Master’s in Data Science, Engineering or related field from an accredited degree program.
Must have at least an overall 3.0 GPA and proven good academic standing.
Strong understanding of AI concepts, machine learning, and data analytics.
Ability to understand detailed business processes and translate business problems or workflows into AI-enabled solutions.
Prior related internship or co-op experience (preferred).
Experience with GenAI tools, prompt engineering, agent development, and data visualization (preferred).
Knowledge of supply chain, finance, or commercial operations workflows (preferred).
Familiarity with Azure and AWS cloud platforms, Microsoft CoPilot, AI Factory, Bedrock, Quick Suite (preferred).
Demonstrated prior leadership experience in the workplace, school projects, competitions, etc. (preferred).
Project management skills, i.e. the ability to innovate and execute solutions that matter; the ability to navigate ambiguity (preferred).
Demonstrated strategic thinking and problem-solving skills (preferred).
Adaptability and eagerness to learn emerging technologies (preferred).
Strong interpersonal and stakeholder management skills (preferred).
Self-motivated with an innovative approach to problem solving and a can-do attitude (preferred).
Strong written and verbal communication skills (preferred).
Strong planning & organizational skills (preferred).

Benefits

Comp & perks

Mentorship opportunities
Networking opportunities
Leadership opportunities

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

AI conceptsmachine learningdata analyticsprompt engineeringagent developmentdata visualizationproject managementchange managementproof-of-conceptsminimum viable products

Soft Skills

leadershipstrategic thinkingproblem-solvingadaptabilityinterpersonal skillsstakeholder managementself-motivationinnovationcommunication skillsplanning

Certifications

Master’s in Data ScienceMaster’s in Engineering