Palantir Foundry Engineer

Must have

• Minimum 10 Years of experience in IT/Data. Minimum 5 years of experience as a Data Platform Engineer/Data Engineer. · 2+ years of professional experience with the Palantir Foundry ecosystem (data integration, ontology, pipelines, applications). 1+ years of hands-on experience with Palantir's AIP (Artificial Intelligence Platform), including: - Supporting the design and deployment of AIP use cases such as copilots, retrieval workflows, and decision-support agents. - Grounding agents and logic flows using RAG (retrieval-augmented generation) - connecting to relevant data sources, embedding/vector search, and ontology content. - Applying Ontology-Augmented Generation (OAG) for operational decision-making, where logic, data, actions and relationships are embedded in the Ontology. - Collaborating with senior engineers on agent design, instructions, and evaluation using AIP's native features. · Strong technical skills in Python, PySpark, SQL, and data modelling. · Ability to work independently and engage directly with non-technical business users. · Strong problem-solving mindset and ownership of delivery.

· Experience in Abu Dhabi or the broader MENA region.

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.

• · 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.

Project description