Foundry & AIP Engineer

Job Description:

  • Data & Workflow Engineering: Design, develop, and maintain scalable pipelines, transformations, and applications within Palantir Foundry.
  • AIP & AI Enablement:
  • Support the design and deployment of AIP use cases such as copilots, retrieval workflows, and decision-support agents.
  • Ground agents and logic flows using RAG (retrieval‐augmented generation) by connecting to relevant data sources, embedding/vector search, ontology content.
  • Use Ontology-Augmented Generation (OAG) when needed: operational decision making where logic, data, actions and relationships are embedded in the Ontology.
  • Collaborate with senior engineers on agent design, instructions, and evaluation using AIP’s native features.
  • End-to-End Delivery: Work with stakeholders to capture requirements, design solutions, and deliver working applications.
  • User Engagement: Provide training and support for business teams adopting Foundry and AIP.
  • Governance & Trust: Ensure solutions meet standards for data quality, governance, and responsible use of AI.
  • Continuous Improvement: Identify opportunities to expand AIP adoption and improve workflow automation.

Requirements:

  • 2+ years of professional experience with the Palantir Foundry ecosystem (data integration, ontology, pipelines, applications).
  • Strong technical skills in Python, PySpark, SQL, and data modelling.
  • Practical experience using or supporting AIP features such as RAG workflows, copilots, or agent-based applications.
  • Ability to work independently and engage directly with non-technical business users.
  • Strong problem-solving mindset and ownership of delivery.
    • Bonus Experience
  • Familiarity with AIP Agent Studio concepts (agents, instructions, tools, testing).
  • Exposure to AIP Evals and evaluation/test-driven approaches.
  • Experience with integration patterns (APIs, MCP, cloud services).
  • Consulting or applied AI/ML background.
  • Experience in Abu Dhabi or the broader MENA region.

Benefits:

  • Expected to be a long-term engagement
  • Expenses-paid travel to the office a few times a year
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