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Zoetis

AI Acceleration Intern – AI Development Lifecycle

Zoetis

. Help plan and execute AI pilots and proofs of concept, including tracking milestones, gathering user feedback, and summarizing results and lessons learned.

Posted 11/10/2026internshipRemote • United StatesEntry Level💰 $16 - $40 per hourWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates a foundational understanding of artificial intelligence and machine learning concepts, with experience in Python, SQL, and cloud platforms. Capable of supporting AI pilots and proofs of concept while effectively communicating technical concepts to diverse audiences.

Highest-signal resume keywords
Artificial IntelligenceMachine LearningPythonSQLCloud Platforms

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Artificial IntelligenceMachine LearningPythonSQLSoftware Development LifecycleAgile MethodologiesData AnalysisDashboard DevelopmentValue AssessmentBusiness Case Development
Soft Skills
Analytical SkillsWriting SkillsCommunication Skills
Tools & Technologies
Microsoft AzureAWSDatabricksJiraConfluence
Industry Keywords
AI GovernanceEnterprise AI SolutionsProof of ConceptPilotAI Development Lifecycle

Tech Stack

Tools & technologies
AWSAzureCloudPythonSDLCSQL

About the role

Key responsibilities & impact
  • Help plan and execute AI pilots and proofs of concept, including tracking milestones, gathering user feedback, and summarizing results and lessons learned.
  • Partner with the AI Architect to document and enhance AI development lifecycle standards, templates, and playbooks across the idea, proof-of-concept, pilot, and production stages.
  • Review the AI use case pipeline to evaluate stage health, cycle times, and throughput, and develop dashboards or reports to track key acceleration metrics.
  • Support the early evaluation of new AI use cases by researching AI tools and platforms and contributing to value assessments and business cases.
  • Assist in preparing updates and materials for leadership forums, including the AI Council.
  • Develop and present a final internship project to the team.

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, Business Analytics, or a related field.
  • Basic understanding of artificial intelligence and machine learning concepts, including generative AI and large language models (LLMs).
  • Exposure to cloud or data platforms such as Microsoft Azure, AWS, or Databricks is a plus.
  • Familiarity with the software development lifecycle (SDLC) or Agile methodologies.
  • Experience with Python, SQL, Jira, or Confluence is preferred.
  • Strong analytical, writing, and communication skills, with the ability to explain technical concepts clearly to different audiences.
  • Interest in responsible AI, AI governance, and the development and scaling of enterprise AI solutions.