Palantir Foundry Engineer

Overview

In this role you will design, build, and operationalize AI-powered workflows within Palantir Foundry and AIP to drive tangible business outcomes. You will translate complex needs into scalable technical solutions and collaborate with stakeholders to maximize value from Foundry and AIP. You’ll work on end-to-end delivery, governance, and adoption, shaping how AI-enabled data pipelines and agents support decision-making. This is a hands-on, cross-functional role with a focus on practical impact, responsible AI, and continuous improvement. Join a senior engineering team to scale AI-enabled workflows across business domains and data landscapes.

Responsabilità Design, develop, and maintain scalable Palantir Foundry pipelines, transformations, and applications

Support 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) with data sources, embeddings, vector search, and ontology content

Apply Ontology-Augmented Generation (OAG) for operational decision-making with embedded logic, data, actions, and relationships

Collaborate with senior engineers on agent design, instructions, and evaluation using AIP features

Capture requirements, design solutions, and deliver working applications with stakeholders

Provide training and support for business teams adopting Foundry and AIP

Ensure solutions meet data quality, governance, and responsible AI standards

Identify opportunities to expand AIP adoption and improve workflow automation

Requisiti fondamentali 10+ years IT/Data experience

5+ years as Data Platform Engineer/Data Engineer

2+ years Palantir Foundry ecosystem experience

1+ years hands-on Palantir AIP experience (design/deployment of AIP use cases)

Experience grounding agents with RAG, data sources, embeddings, and ontology content

Ontology-Augmented Generation experience for operational decision-making

Collaboration with senior engineers on agent design and evaluation

Strong Python, PySpark, SQL, and data modelling skills

Experience with AIP features such as RAG workflows, copilots, or agent-based applications

Ability to work independently and interact with non-technical business users

Strong problem-solving mindset and delivery ownership

Self-starter mindset

Stakeholder engagement with non-technical users

Problem-solving and ownership

Python

PySpark

SQL