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