AI Data Engineer

AI Data Engineer page is loaded## AI Data Engineer locations:
Parsippanytime type:
Full time posted on:
Posted Yesterday job requisition :
JR
** Role Description
**** POSITION SUMMARY
** At Zoetis we are passionate about our customers and the animals in their care. We discover, develop and manufacture the world’s most innovative and effective products for animal health—medicines, vaccines, diagnostics, genetic tests, biodevices—and we are creating the next generation of integrated solutions and services to support this evolving industry. We know our people drive our success. Our colleagues are proud of our company culture and the meaningful role we play in caring for animals.

The Zoetis Core Beliefs define the commitments we make to our colleagues, our customers, and our stakeholders every day. They have guided the creation of our award-winning workplace and our proud position as a leading partner of choice in animal health.

Join our Data Analytics and Engineering (DAE) Group as an AI Data Engineer. This role is ideal for a passionate technologist eager to build modern data products and solutions powered by Databricks, Unity Catalog, Microsoft AI Foundry services such as Azure Open AI & AI search along with similar cutting-edge AI services from other providers. You’ll design, develop, deploy, maintain and most importantly support data & AI products to deliver meaningful robust, resilient data products for our clients.

AI Data engineer will report to the Data Product Architect, Analytics and Operations Lead within the Digital, Data, and Analytics organization, and execute data engineering and AI use cases in support of the digital and analytics strategy of Zoetis.
** POSITION RESPONSIBILITIES
**** Design, Develop, Deploy, and Support Data Pipelines:
** Build, and maintain robust data pipelines to ensure efficient data flow and transformation across the enterprise. Assemble large, complex data sets that fulfill functional and business requirements, ensuring the data architecture remains optimal and scalable.
** Ensure Operational Effectiveness & Support:
** Take ownership of performance, uptime, and release management for the enterprise data platform, ensuring high standards of reliability and efficiency.
** Build and Support AI Solutions:
** Design, develop, deploy, maintain, and support data-driven AI solutions that address business needs and drive innovation.
** Uphold Quality and Security Standards:
** Adhere to established data analytics quality and security standards for all data and AI solutions, ensuring compliance and best practices.
** EDUCATION AND EXPERIENCE
** Bachelor's or master's degree from an accredited college or university in Computer Science, Statistics, Mathematics, Information Technology, Operations Research, or related field. Minimum of five years of professional experience as a Data Engineer, with demonstrated knowledge of AI implementations.
** TECHNICAL SKILLS REQUIREMENTS
*** Azure Databricks:
Expertise in designing, developing, and managing scalable data pipelines and analytics solutions using Azure Databricks. Proficiency in managing data governance, access controls, and cataloging within Databricks Unity Catalog.
* Azure Data Factory:
Skilled in building, orchestrating, and monitoring data workflows and integrations with Azure Data Factory.
* AI Engineering LLMs, RAG, and Advanced Analytics:
Hands-on experience implementing, integrating, and supporting Retrieval-Augmented Generation (RAG) based AI solutions, including expertise in prompt engineering techniques for large language models, natural language integration, using Microsoft AI Foundry services such as Azure OpenAI and Azure AI Search, as well as similar cutting‑edge AI services from other providers, including Databricks Genie and Agent Frameworks.
* Operational Support

Experience:

Strong experience providing operational support for enterprise data platforms and AI solutions, ensuring performance, reliability, and timely issue resolution. Exceptional problem-solving skills, with a track record of managing complex, cross-functional deliverables.
* Databricks Genie:
Experience utilizing Databricks Genie for AI solutions in enterprise…