Job description

Since 1869, we ve connected people through food they love. We’re proud to be stewards of amazing brands that people trust. Our portfolio includes the iconic Campbell’s brand, as well as Cape Cod, Chunky, Goldfish, Kettle Brand, Lance, Late July, Pacific Foods, Pepperidge Farm, Prego, Pace, Rao’s Homemade, Snack Factory, Snyder’s of Hanover. Swanson, and V8. Here, you will make a difference every day. You will be supported to build a rewarding career with opportunities to grow, innovate and inspire. Make history with us. Data Engineer / AI Engineer (Co-op) We are seeking a motivated and curious Data Engineer / AI Engineer to join our team. This co-op / internship offers hands-on experience at the forefront of Generative AI and automation. You will have the opportunity to learn and work with cutting-edge technologies within our Agentic Frameworks to refine their usage in a modern Databricks environment. If you are passionate about the future of AI and eager to build intelligent systems, we want to hear from you! Key Responsibilities Prototype AI Agents: Assist in building and testing AI agents designed to automate internal workflows or enhance data retrieval processes. AI Training: Provide feedback to enhance and optimize the output of agents. Prompt Engineering & Tuning: Experiment with and refine system prompts to improve the accuracy and reliability of outputs. Monitor Model Performance: Identify hallucinations or inconsistencies in AI responses and suggest improvements for model grounding. Collaborate with Agile Teams: Work with cross-functional teams to integrate AI capabilities into existing enterprise applications and participate in Agile ceremonies. Explore Emerging AI Tools: Research and test new frameworks in the Agentic AI space under the guidance of senior AI and Data Engineers. Document AI Architectures: Help document model schemas, API integrations, and AI governance standards. Learning & Development Opportunities Hands-on training in Generative AI and Agentic technologies. Mentorship from senior AI Engineers and Data Scientists working on enterprise-scale deployments. Practical experience building on Cloud/SaaS infrastructure (e.g., Azure, Databricks, Snowflake). Qualifications Current graduate student in Computer Science, Data Science, Artificial Intelligence, Mathematics, or a related field Foundational programming skills in Python and an understanding of SQL. Familiarity with AI concepts through coursework or personal projects. Excellent problem-solving skills and a high degree of technical curiosity. Eager to learn in a rapidly evolving field and able to adapt to new tools quickly. The Company is committed to providing equal opportunity for employees and qualified applicants in all aspects of the employment relationship, including consideration for employment, without regard to race, color, sex, sexual orientation, gender identity, national origin, citizenship, marital status, protected veteran status, disability, age, religion, or any other classification protected by law.

Requirements

Must-haves

Here, you will make a difference every day. You will be supported to build a rewarding career with opportunities to grow, innovate and inspire. Make history with us.
Data Engineer / AI Engineer (Co-op)
Prototype AI Agents: Assist in building and testing AI agents designed to automate internal workflows or enhance data retrieval processes.
AI Training: Provide feedback to enhance and optimize the output of agents.
Prompt Engineering & Tuning: Experiment with and refine system prompts to improve the accuracy and reliability of outputs.
Monitor Model Performance: Identify hallucinations or inconsistencies in AI responses and suggest improvements for model grounding.
Collaborate with Agile Teams: Work with cross-functional teams to integrate AI capabilities into existing enterprise applications and participate in Agile ceremonies.
Explore Emerging AI Tools: Research and test new frameworks in the Agentic AI space under the guidance of senior AI and Data Engineers.
Document AI Architectures: Help document model schemas, API integrations, and AI governance standards.
Learning & Development Opportunities
Hands-on training in Generative AI and Agentic technologies.
Mentorship from senior AI Engineers and Data Scientists working on enterprise-scale deployments.
Practical experience building on Cloud/SaaS infrastructure (e.g., Azure, Databricks, Snowflake).
Current graduate student in Computer Science, Data Science, Artificial Intelligence, Mathematics, or a related field
Foundational programming skills in Python and an understanding of SQL.
Familiarity with AI concepts through coursework or personal projects.
Excellent problem-solving skills and a high degree of technical curiosity.
Eager to learn in a rapidly evolving field and able to adapt to new tools quickly.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aiagileapiazurepythonsql

Platform: workday
Effort: long