Open 5 monthsWe first saw this posting 151 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
Status in our records
Live
First seen by us
Jun 15, 2026151 days ago
Recorded sightings
306
Last seen by us
Nov 13, 2026
Employer says posted
Jun 12, 2026
Jun 15, 2026today
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 151
477
Up longer than most. Similar jobs usually come down between day 4 and day 77.
Well past Campbell's’s usual: its jobs come down by about day 37.
From 51 similar postings that came down, and 9 of Campbell's’s. Coming down is not always a hire.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
Python
SQL
Azure
Databricks
Snowflake
Where the posting names them
- 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.
- 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
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
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Yes. We’ve followed 2 other Data Engineer, DA&AI Co-Op jobs there since June 2026. All 2 are still up.
CamdenStill up after 152 days, first seen Jun 15
CamdenStill up after 152 days, first seen Jun 15
This jobUp 152 days so far, first seen Jun 15
Jun 15Today
About Campbell's
People
About 1,641 in 2025.Benefit plan filings (Form 5500)
Company
Listed as CPB.
Demand for AI Engineer roles
New AI Engineer postings at the employers we follow are up 134% over the last 6 weeks compared with the 6 before.
August 17Last week
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under AI Engineer, by the work the posting describes.
AI engineers build products on top of AI models that already exist, most often large language models: they connect a model to a company's data and tools and ship the assistants, agents and search features people use.
Postings ask for strong Python or TypeScript, experience with model APIs, retrieval and agent frameworks, and ways to test whether the model's answers are good enough.
An ML engineer trains and serves models; an AI engineer usually starts from a model someone else trained and builds the product around it, though titles often mix the two.
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 Agentictechnologies.
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.
Selected passages from the saved posting. Check the full description for conditions and exceptions.
Pay
No pay amount identified in the saved description.
Location & working pattern
USA - NJ - Camden
Working pattern and location restrictions need checking in the full posting.
Work authorization
- 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.