Palantir AI engineer

Responsibilities

• AIP Logic & Tooling: Design and implement AIP Logic functions and integrate LLMs into Foundry workflows.
• Ontology Architecture: Map complex business processes into the Foundry Ontology, ensuring AI models have a structured, semantic understanding of the organization.
• Pipeline Development: Build robust data pipelines using PySpark and Foundry Data Connection to feed high-quality data into AI features.
• Prompt Engineering & Orchestration: Develop and refine prompts and use AIP Assist or Automate to create autonomous agents and decision-support tools.
• Application Building: Use Workshop and Slate to build intuitive front-end interfaces where end-users can interact with AI insights.
• Governance & Ethics: Implement rigorous testing, versioning, and "checks and balances" within the AIP framework to ensure AI outputs are safe, reliable, and explainable.

Requirements

• Bachelor's degree in Computer Science, Information Technology, Software Engineering, Artificial Intelligence, Data Science, Computer Engineering, Electrical Engineering, or a related technical discipline
• Palantir Core | Proficiency in Foundry Ontology, Workshop, Contour, and Pipeline Builder
• AI/ML Skills | Deep understanding of AIP Logic, LLM orchestration (RAG), and prompt engineering
• Languages | Expert-level Python and PySpark. Familiarity with TypeScript/SQL is a plus
• Data Engineering | Experience with data modeling, ETL/ELT, and managing large-scale datasets
• DevOps/Mojo | Knowledge of Foundry’s modeling objective (Mojo) and CI/CD for ML models

Preferred Experience

• Experience building Agentic Workflows (AI that can take actions, not just answer questions)
• A background in a highly regulated industry (Finance, Healthcare, Defense) where data privacy and security are paramount
• Palantir certifications (e.g., Foundry Data Engineer or Foundry Public Sector)