Palantir Foundry & AIP Engineer

Walter; Abu Dhabi; On-site; AED 120,000 - 200,000; Full time

Job summary

A leading global investment firm in Abu Dhabi is looking for a Palantir Foundry & AIP Engineer. This position requires hands-on experience with the Foundry ecosystem and AIP, with responsibilities including designing AI-powered workflows and delivering technical solutions. Candidates should have strong skills in Python, PySpark, and SQL, along with the ability to work independently with stakeholders. The role offers a long-term engagement and paid travel to the office several times a year.

Qualifications

• 2+ years of professional experience with the Palantir Foundry ecosystem.
• Strong technical skills in Python, PySpark, SQL, and data modelling.
• Practical experience using AIP features such as RAG workflows or agent-based applications.

Responsibilities

• Design, develop, and maintain scalable pipelines within Palantir Foundry.
• Work with stakeholders to capture requirements and deliver applications.
• Provide training for business teams adopting Foundry and AIP.

Skills

Python

PySpark

SQL

Data modelling

Problem-solving mindset

Tools

Palantir Foundry

AIP

Job description

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.

• 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.

• Expected to be a long‑term engagement
• Expenses‑paid travel to the office a few times a year