The AI Capabilities Intern – AI Architecture, Enablement & Tools will join the AI Capabilities & Governance team within Zoetis Tech & Digital (ZTD) to support the enterprise generative AI platform, evaluate and enable new AI tools, and document AI architecture and integration patterns.
Locations (3)
Kalamazoo, Michigan, United States
Parsippany, New Jersey, United States
United States
Compensation
The following hourly pay rates reflect the anticipated base pay for this position:
Associate-level degree: $16.00/hour
Undergraduate-level degree: $22.00/hour
Graduate-level degree: $32.50/hour
Doctorate-level degree: $36.00/hour
For candidates located in California, Connecticut, District of Columbia, Illinois (Chicago area), Massachusetts, New Jersey, New York, or Washington (Seattle area), the anticipated hourly base pay rates are:
Associate-level degree: $17.00/hour
Undergraduate-level degree: $24.20/hour
Graduate-level degree: $36.40/hour
Doctorate-level degree: $40.30/hour
Responsibilities
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.
Supports automation team objectives at Zoetis Global Manufacturing and Supply Lincoln facility.
Responsibilities
Maintain assigned Automation computer systems in a secure and validated state under Zoetis SOPs, Zoetis Quality Standards (ZQS), CFR21 Part 11, ISPE current Good Automated Manufacturing Practices (cGAMP), and Computer System Validation Practices.
Pursue active and regular engagement with customers to understand their business drivers and needs to identify opportunities where automation technology can add benefits.
Install, patch, and service assigned automation computer systems.
Perform weekly verifications of successful database backups on assigned systems.
Perform periodic Automation Preventative Maintenance (PM) on schedule.
Requirements
Associate degree in Automation, Computer Science, Electronics, or equivalent technical degree.
As a Software Development Engineer in Test (SDET), you will be instrumental in building and scaling our automated testing infrastructure.
Responsibilities
Design, develop, and maintain automated test scripts for UI, API, and database layers using modern frameworks such as Selenium, Playwright, Cypress, and other open-source tools
Build comprehensive test suites including smoke, functional, regression, and integration tests for GUI front-ends, API services, and database backends
Develop and maintain end-to-end regression suites that provide confidence for continuous deployment
Identify high-ROI test cases and systematically automate them to minimize manual testing effort
Implement API testing for SOAP and REST services using tools like Postman, RestAssured, or equivalent frameworks
Requirements
Bachelor's degree in Computer Science, Information Technology, or equivalent practical experience
Hands-on QA Automation Lead to drive test automation strategy and execution across the GuidingCare® platform, designing and evolving scalable frameworks while mentoring engineers.
Responsibilities
Design, build, and maintain scalable automation frameworks from scratch using Playwright with TypeScript
Lead modernization of legacy suites (Katalon, Selenium) to Playwright-based frameworks
Establish design patterns (POM), reusable libraries, utilities, and reporting plug-ins for cross-team adoption
Define and maintain automation coding standards, branching strategy, and code review practices
Define automation strategy, coverage targets, and KPIs aligned with release and business goals
Requirements
Bachelor’s or master’s degree in computer science, Engineering, or a related field
Lead end-to-end data engineering and BI pipeline development using AWS services, building dashboards in QuickSight, and ensuring data quality and performance.
Responsibilities
Design, build, and maintain AWS Glue ETL jobs
Develop and optimize AWS Step Functions workflows
Implement incremental loading and schema evolution
Build, automate, and operate the infrastructure that powers a healthcare technology platform.
Compensation
The annual US base salary range for this position is $101,000 to $115,000.
Responsibilities
Design, implement, and maintain CI/CD pipelines for Java-based microservices and enterprise healthcare applications using tools like GitLab CI/CD, Jenkins, or similar.
Customize CI/CD pipelines, including build stages, test automation, artifact management, and deployment strategies.
Automate infrastructure provisioning and configuration using Infrastructure-as-Code (Terraform, CloudFormation, or similar tools).
Deploy and manage AWS cloud infrastructure, including EC2, S3, ECS/EKS, RDS, and networking components.
Handle storage and access configurations such as S3 bucket policies, IAM roles, file permissions, and mount/server path configurations (EFS/NFS).
Requirements
Bachelor's degree or higher in Computer Science, Engineering, or a related technical field
We are seeking a Software Engineer with 3–5 years of experience in Business Intelligence, SQL, data analytics, and cloud-based reporting solutions. The role will primarily support the migration of enterprise reports from Tableau to Amazon QuickSight and contribute to report development, testing, deployment, automation, and production support.
Responsibilities
Design, develop, and maintain dashboards, datasets, analyses, and reports using Amazon QuickSight.
Migrate Tableau reports, calculations, filters, parameters, and business logic to QuickSight.
Develop and optimize complex SQL queries, views, and functions using PostgreSQL.
Validate report data and reconcile outputs between source systems, Tableau, PostgreSQL, and QuickSight.
Work with AWS services such as QuickSight, S3, Glue, Athena, IAM, and Amazon RDS.
Requirements
Bachelor’s degree in Computer Science, Information Technology, Engineering, Data Analytics, or a related discipline.