Sr. Data AI Engineer

Westrock Coffee Co

  • Little Rock, AR
  • 30+ days ago

    Highlights

    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. 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.

    Numbers & Facts

    LocationLittle Rock, AR

    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:

    • 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:

    • 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

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