Foundry & AIP Engineer — AI-Driven Workflow Architect
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 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: 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.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).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.
- Strong technical skills in Python, PySpark, SQL, and data modelling.· Ability to work independently and engage directly with non-technical business users.· Experience in Abu Dhabi or the broader MENA region.
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: 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.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).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.
- Strong technical skills in Python, PySpark, SQL, and data modelling.· Ability to work independently and engage directly with non-technical business users.· Experience in Abu Dhabi or the broader MENA region.