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Senior Data AI Engineer

Little Rock, AR, USA

Pay
Salary not listed in the saved posting
Work setup
Unconfirmed
Employment
Full-time — employment source
Employment type in the employer’s listing: Full-time
From the employer’s posting
Apply at Westrock Coffee

What you’ll work on

Full posting
  • Architect and build data pipelines and transformation logic in Palantir Foundry

  • Model objects and relationships in the Enterprise Ontology

  • Build customer applications with cross-functional teams

  • Integrate LLM-based agents into workflows using Foundry AIP

  • Apply machine learning practices like feature engineering and model validation

From the employer’s posting
Design and implement end-to-end data pipelines and transformation logic with a focus on data health and sustainability
Model objects and relationships in the Enterprise Ontology
Collaborate with cross-functional teams to identify requirements to architect and build impactful solutions by developing customer applications
Utilize Foundry AIP and integrate LLM-based agents to transform workflows
Apply machine learning best practices, including feature engineering, model validation, and performance tuning for development and deployment

Tools in this posting

  • C++
  • Java
  • JavaScript
  • Python
  • TypeScript
Source — Tool mentions in context
- Strong engineering background, preferably in fields such as Computer Science, Mathematics, Engineering, and Data Science - Strong coder with shown proficiency in programming languages such as Python, Java, C++, TypeScript/JavaScript, or similar for data manipulation, scripting, model development, and application building - Strong foundation in Machine Learning basics (Evaluation, Training, Problem Decomposition)

Posting record

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Status in our records
Live
First seen by us
Jul 30, 2026 · 80d ago
Recorded sightings
93
Last seen by us
Oct 17, 2026

These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.

Job description

View original posting ↗

You'll be joining a small team rebuilding Westrock Coffee's operating system from the ground up on Palantir Foundry. This isn't a maintain-the-dashboard role--you'll architect core data pipelines, design ontology models, and ship AI-driven applications that change how our company operates.
 
Job Duties:
  • 7-10 years of software engineering and development experience
  • Strong engineering background, preferably in fields such as Computer Science, Mathematics, Engineering, and Data Science
  • Strong coder with shown proficiency in programming languages such as Python, Java, C++, TypeScript/JavaScript, or similar for data manipulation, scripting, model development, and application building
  • Strong foundation in Machine Learning basics (Evaluation, Training, Problem Decomposition)
  • In-office position in Little Rock, Arkansas Headquarters working in a collaborative Foundry Development Center
  • Experience with Palantir Foundry is a strong plus, but we're equally interested in engineers who learn platforms fast and have built on complex data systems before

Qualifications

Qualifications:
  • Collaborate with cross-functional teams to identify requirements to architect and build impactful solutions by developing customer applications
  • Architect and engineer solutions in Palantir Foundry on the team working toward building out the reimagined Westrock Coffee operating system
  • Design and implement end-to-end data pipelines and transformation logic with a focus on data health and sustainability
  • Model objects and relationships in the Enterprise Ontology
  • Apply machine learning best practices, including feature engineering, model validation, and performance tuning for development and deployment
  • Utilize Foundry AIP and integrate LLM-based agents to transform workflows
  • Design and build agent architecture that enables observability, human-in-the-loop verification, and precise context control access

Your next step

  • Have your CV and examples of relevant work ready.
  • Check the listed location, eligibility and core experience before starting.
  • Ask the employer about the salary range before committing time to the process.

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Source details

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Pay

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Little Rock, AR, USA

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