Project description 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 adecuado 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. Skills 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). Strong technical skills in Python, Py Spar

📌 Palantir foundry engineer (Madrid)
🏢 Luxoft
📍 Madrid