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.
