AI Platform Engineer, Palantir Foundry

Overview

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.

• Platform & Application Enablement:
  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.

• Palantir Foundry Platform Management:
  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.

• AI – Driven Solution Development:
  Build and support AI‑enabled applications using Palantir Foundry, Python, PySpark, and Type Script.
• 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.

• Analytics & Business Insight:
  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.

• Stakeholder Partnership & Governance:
  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.

• 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 Type Script 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.

• Preferred Qualifications:
  
  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).

• Seeing, Listening, Color Perception

• Inside, Face‑to‑Face, Work with Others

• Reading – Complex
• Math – Complex
• Analysis/Comprehension
• Judgment/Decision Making

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