This is a fully remote position, open to applicants in United States.

📋 Description

• Assist in the planning and execution of AI pilots and proofs of concept, which includes monitoring milestones, collecting user feedback, and summarizing results along with lessons learned.

• Collaborate with the AI Architect to document and improve AI development lifecycle standards, templates, and playbooks throughout the idea, proof-of-concept, pilot, and production phases.

• Analyze the AI use case pipeline to assess stage health, cycle times, and throughput, and create dashboards or reports to monitor key acceleration metrics.

• Aid in the preliminary evaluation of new AI use cases by investigating AI tools and platforms and contributing to value assessments and business cases.

• Support the preparation of updates and materials for leadership forums, including the AI Council.

• Create and deliver a final internship project presentation to the team.

⛳️ Requirements

• Currently enrolled in a Bachelor’s or Master’s program in Computer Science, Data Science, Information Systems, Computer Engineering, Software Engineering, Business Analytics, or a related discipline.

• Fundamental understanding of artificial intelligence and machine learning concepts, including generative AI and large language models (LLMs).

• Familiarity with cloud or data platforms such as Microsoft Azure, AWS, or Databricks is advantageous.

• Knowledge of the software development lifecycle (SDLC) or Agile methodologies.

• Preferred experience with Python, SQL, Jira, or Confluence.

• Excellent analytical, writing, and communication skills, with the capacity to explain technical concepts clearly to diverse audiences.

• Enthusiasm for responsible AI, AI governance, and the development and scaling of enterprise AI solutions.

• All candidates must hold or be able to obtain authorization to work in the US for Zoetis.

• Applicants requiring sponsorship must disclose this information.