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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates strong analytical and communication skills to effectively collaborate with business users and present technical concepts. Familiarity with generative AI, Large Language Models, and cloud platforms supports the development and implementation of AI use cases within an enterprise environment.
Highest-signal resume keywords
Generative AILarge Language ModelsMicrosoft AzureAWSPython
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
AI Use Case IdentificationValue MeasurementUsage AnalysisTokenomicsReference Architecture Documentation
Soft Skills
Analytical SkillsWriting SkillsCommunication SkillsCuriositySelf-Direction
Tools & Technologies
AI AssistantsAI Coding ToolsAPIs
Industry Keywords
AI GovernanceEnterprise AIAnimal Health
Tech Stack
Tools & technologiesAWSAzureCloudPython
About the role
Key responsibilities & impact- Partner with business users to identify, document, and implement AI use cases within the enterprise generative AI platform.
- Support the AI platform team with value measurement, reporting, usage analysis, and tokenomics.
- Identify opportunities for new AI tools, evaluate potential solutions, and participate in testing and assessment activities.
- Assist with documenting reference architectures and integration patterns for AI platforms and tools.
- Support the preparation of updates and materials for leadership forums, including the AI Council.
- Develop and present a final internship project to the team.
- Gain hands-on experience helping business users apply generative and agentic AI and responsibly scale enterprise AI capabilities at Zoetis, a global animal health company.
Requirements
What you’ll need- Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Data Science, Information Systems, Computer Engineering, Software Engineering, or a related field.
- Strong interest in generative AI and agentic AI, including Large Language Models (LLMs) and AI agents.
- Experience using AI assistants, AI coding tools, or similar technologies is a plus.
- Familiarity with cloud platforms such as Microsoft Azure or AWS, APIs, or Python is preferred.
- Strong analytical, writing, and communication skills, with the ability to explain technical concepts clearly to non-technical audiences.
- Demonstrated curiosity, self-direction, and interest in responsible AI practices and AI governance.
- Preference for candidates located in the U.S. Eastern Time Zone.