<sdf-icon _ngcontent-ng-c4503597838362063=”” icon=”location” class=”text-action-primary hydrated” aria-hidden=”true” role=”presentation”></sdf-icon> Little Rock, Arkansas, United States
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. This is a junior position with significant room to grow in our organization.
Job Duties:
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
1–3 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