What are the responsibilities and job description for the Sr. Data AI Engineer position at Westrock Coffee Company?
Job Description
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:
6879
Shift
Office Hours TBD
Qualifications
Qualifications:
120000
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
6879
Shift
Office Hours TBD
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
120000