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Palantir Foundry & AIP Engineer

Walter
Posted Jun 1, 2026, 9:45 PM UTC
🇦🇪United Arab Emirates🏠Remote📁Engineering & Development
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A globally diversified investment institution that prudently invests funds on behalf of the Government of Abu Dhabi through a strategy focused on long‑term value creation. General Information The position is open to full-time candidates with excellent communication skills that can provide extensive overlap with the GST time zone. Tasks and Deliverables Our client is 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: 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.

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