Palantir Foundry Engineer (with AIP exposure) $$$$ Offline

We are seeking a Palantir Foundry & AIP Engineer with hands-on experience across the full Foundry ecosystem and Palantir's Artificial Intelligence Platform (AIP). This role goes beyond data engineering: you will design, build, and operationalize AI-powered workflows, agents, and applications that drive tangible business outcomes. The ideal candidate is a self-starter, able to translate complex business needs into scalable technical solutions, and confident working directly with stakeholders to maximize the value of Foundry and AIP.

• Responsibilities:

  • Data & Workflow Engineering: Design, develop, and maintain scalable pipelines, transformations, and applications within Palantir Foundry.
  • AIP & AI Enablement:
  o Support the design and deployment of AIP use cases such as copilots, retrieval workflows, and decision-support agents.
  o Ground agents and logic flows using RAG (retrieval‐augmented generation) by connecting to relevant data sources, embedding/vector search, ontology content.
  o Use Ontology-Augmented Generation (OAG) when needed: operational decision making where logic, data, actions and relationships are embedded in the Ontology.
  o 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.

• Mandatory Skills Description:

  Required Qualifications:
  • 10+ years of overall experience as a Data and AI Engineer;
  • 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.