Jobs

AI Enablement Strategist (New College Graduate)
USA - Texas - Austin; IND - Karnataka - Bengaluru - North
·
On-site
·
Full-time
·
2d ago
About Global Foundries
GlobalFoundries (GF) is a leading full-service semiconductor foundry providing a unique combination of design, development, and fabrication services to some of the world’s most inspired technology companies. With a global manufacturing footprint spanning three continents, GF makes possible the technologies and systems that transform industries and give customers the power to shape their markets. For more information, visit www.gf.com.
New College Graduates Overview:
We offer many full-time employment paths for recent graduates, which provide accelerated training in a fast-paced work environment, cross-functional working opportunities, and talent mobility. New college graduates are provided with mentorship, networking, and leadership opportunities, which give our new team members life-long connections and skills.
Summary of Role:
We are seeking a strategic and innovative analyst who can apply cutting-edge AI technologies to practical business opportunities, supporting functions like Manufacturing, Engineering, Global Supply Chain, Finance, and other functions. This role focuses on enabling AI adoption, building accelerators, innovating via proof of concepts, and driving measurable value across these critical business areas. Ideal for a New College Graduate (NCG) with strong critical thinking, problem solving, analytical and technical skills with a passion for AI innovation and emerging technologies.
Essential Responsibilities include:
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Develop AI enablement strategies tailored for HR, Marketing, and Communications workflows.
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Identify and prioritize high-impact use cases in forecasting, product, marketing, and planning.
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Design and implement proof-of-concepts (POCs) and minimum viable products (MVPs) leveraging GenAI, ML, automation, agents, or other emerging technologies.
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Collaborate with relevant business teams to understand their challenges, identify ideal AI-enabled business processes, and develop hands-on prototypes
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Create reusable playbooks, reference architectures, and enablement assets for business teams.
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Collaborate with data platform and security teams to ensure secure and governed access to data for AI solutions.
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Partner with business teams on change management initiatives, including training and communication for adoption.
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Ensure compliance with Responsible AI principles and governance frameworks.
Other Responsibilities:
- Perform all activities in a safe and responsible manner and support all Environmental, Health, Safety & Security requirements and programs.
Required Qualifications:
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Education – Graduating or graduated with Master’s in Data Science, Engineering or related field from an accredited degree program.
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Must have at least an overall 3.0 GPA and proven good academic standing.
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Language Fluency
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English (Written & Verbal)
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Strong understanding of AI concepts, machine learning, and data analytics.
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Ability to understand detailed business processes and translate business problems or workflows into AI-enabled solutions.
Preferred Qualifications:
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Prior related internship or co-op experience.
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Experience with GenAI tools, prompt engineering, agent development, and data visualization.
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Knowledge of supply chain, finance, or commercial operations workflows.
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Familiarity with Azure and AWS cloud platforms, Microsoft Co Pilot, AI Factory, Bedrock, Quick Suite.
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Demonstrated prior leadership experience in the workplace, school projects, competitions, etc.
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Project management skills, i.e. the ability to innovate and execute solutions that matter; the ability to navigate ambiguity.
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Demonstrated strategic thinking and problem-solving skills
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Adaptability and eagerness to learn emerging technologies.
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Strong interpersonal and stakeholder management skills.
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Self-motivated with an innovative approach to problem solving and a can-do attitude
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Strong written and verbal communication skills
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Strong planning & organizational skills
#NCGProgram
Expected Salary Range
The exact Salary will be determined based on qualifications, experience and location.
If you need a reasonable accommodation for any part of the employment process, please contact us by email at usaccommodations@gf.com and let us know the nature of your request and your contact information. Requests for accommodation will be considered on a case-by-case basis. Please note that only inquiries concerning a request for reasonable accommodation will be responded to from this email address.
An offer with Global Foundries is conditioned upon the successful completion of pre-employment conditions, as applicable, and subject to applicable laws and regulations.
Global Foundries is fully committed to equal opportunity in the workplace and believes that cultural diversity within the company enhances its business potential. Global Foundries goal of excellence in business necessitates the attraction and retention of highly qualified people. Artificial barriers and stereotypic biases detract from this objective and may be illegally discriminatory.
All policies and processes which pertain to employees including recruitment, selection, training, utilization, promotion, compensation, benefits, extracurricular programs, and termination are created and implemented without regard to age, ethnicity, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, sexual orientation, gender identity or expression, veteran status, or any other characteristic or category specified by local, state or federal law
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About GlobalFoundries

GlobalFoundries
PublicGlobalFoundries Inc. is a multinational semiconductor contract manufacturing and design company domiciled in the Cayman Islands and headquartered in Malta, New York.
10,001+
Employees
Santa Clara
Headquarters
$25.1B
Valuation
Reviews
3.9
10 reviews
Work-life balance
3.2
Compensation
2.8
Culture
4.1
Career
3.4
Management
3.3
72%
Recommend to a friend
Pros
Good teamwork and collaborative environment
Supportive management and colleagues
Interesting and engaging work projects
Cons
Below average compensation and pay
Limited career advancement opportunities
High workload and long hours
Salary Ranges
41 data points
Junior/L3
L3
Mid/L4
Junior/L3 · Data Scientist
0 reports
$130,345
total per year
Base
-
Stock
-
Bonus
-
$110,000
$150,690
Interview experience
51 interviews
Difficulty
3.3
/ 5
Duration
14-28 weeks
Offer rate
36%
Experience
Positive 68%
Neutral 20%
Negative 12%
Interview process
1
Phone Screen
2
Technical Interview
3
Hiring Manager
4
Team Fit
Common questions
Technical skills
Past experience
Team collaboration
Problem solving
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