
AI Intern – AI Architecture, Enablement & Tools
Posted 1 day ago

Posted 1 day ago
This is a fully remote position, open to applicants in New Jersey, +1 more state.
• Collaborate with business users to discover, document, and implement AI use cases within the enterprise generative AI platform.
• Assist the AI platform team with value measurement, reporting, usage analysis, and tokenomics.
• Identify potential opportunities for new AI tools, assess possible solutions, and engage in testing and evaluation activities.
• Help in documenting reference architectures and integration patterns for AI platforms and tools.
• Aid in preparing updates and materials for leadership forums, including the AI Council.
• Develop and present a comprehensive final internship project to the team.
• Acquire hands-on experience in assisting business users to leverage generative and agentic AI, responsibly scaling enterprise AI capabilities at Zoetis, a leading global animal health company.
• Currently enrolled in a Bachelor’s or Master’s program in Computer Science, Data Science, Information Systems, Computer Engineering, Software Engineering, or a related discipline.
• A strong enthusiasm for generative AI and agentic AI, including Large Language Models (LLMs) and AI agents.
• Familiarity with AI assistants, AI coding tools, or similar technologies is advantageous.
• Knowledge of cloud platforms such as Microsoft Azure or AWS, APIs, or Python is preferred.
• Excellent analytical, writing, and communication skills, with the capability to convey technical concepts to non-technical audiences effectively.
• Proven curiosity, self-motivation, and a keen interest in responsible AI practices and AI governance.
• Preference will be given to candidates based in the U.S. Eastern Time Zone.
• Gain practical experience in a dynamic and innovative environment.
• Opportunity to work on impactful projects that contribute to the advancement of AI in the animal health industry.
• Mentorship from experienced professionals in the field.
• Networking opportunities within a global organization.
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