AI Platform Engineer, Palantir Foundry

Acosta•Jacksonville, FL

1d•Onsite

About The Position

The Foundry AI Platform Engineer is responsible for leading the development, deployment, and ongoing management of data models (ontologies), analytics solutions, and AI-driven applications within the Palantir Foundry platform. This role serves as the primary platform engineer and administrator, ensuring platform stability, performance, and usability while translating business needs into scalable, production-ready data and AI solutions. The role partners closely with Technology and business stakeholders to integrate data, analytics, and AI capabilities into operational workflows that support enterprise decision-making.

Requirements

Bachelor’s degree in Computer Science, Data Science, Engineering, Information Systems, or a related technical field, or equivalent practical experience.
3 or more years of demonstrated hands-on experience working with Palantir Foundry in production or enterprise environments.
Experience building enterprise or customer-facing data, analytics, or AI-enabled applications.
Mastery in Python and SQL; advanced proficiency with PySpark and TypeScript preferred.
Strong ability to translate business concepts and workflows into scalable technical solutions.
Experience collaborating with both technical teams and non-technical business stakeholders.
Strong problem-solving skills and comfort supporting production systems in a governed enterprise environment.
Clear communication skills, with the ability to explain technical concepts to diverse audiences.

Nice To Haves

Experience supporting analytics or AI use cases within retail, consumer goods, or commercial enterprise environments.
Familiarity with platform administration, performance monitoring, and operational support for data or analytics platforms.
Experience working within cloud-based data platforms or SaaS environments.
Certifications related to data, analytics, cloud platforms, or Palantir technologies (preferred but not required).

Responsibilities

Design, develop, and optimize ontology-driven data models within Palantir Foundry that support both operational and analytical use cases.
Deliver enterprise-facing applications and workflows that are production-ready, scalable, and aligned to business objectives.
Support sustained end-user engagement by ensuring solutions are intuitive, reliable, and fit for real-world business use.
Partner with Technology teams to support platform performance, stability, and reliability in production environments.
Assist with monitoring, troubleshooting, and operational support of Foundry-based applications and workflows.
Align platform usage with enterprise standards for security, access controls, and data governance.
Build and support AI-enabled applications using Palantir Foundry, Python, PySpark, and TypeScript.
Develop solutions that integrate data pipelines, analytics, and AI capabilities to support enterprise decision-making.
Contribute to AI use cases such as forecasting, performance evaluation, and operational optimization.
Analyze large and complex datasets to identify trends, insights, and opportunities that inform business decisions.
Apply analytics techniques to improve operational efficiency, performance measurement, and planning processes.
Collaborate closely with business and shared-services stakeholders to understand workflows and translate requirements into scalable solutions.
Promote responsible use of data and AI by adhering to established governance, data quality, security, and compliance standards.
Contribute to documentation, best practices, and reusable patterns that support platform adoption across the organization.