AI Platform Engineer, Palantir Foundry

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.

  Qualifications

  • 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.