• 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.

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, 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.

• 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.