GenAI Engineer specialized in Palantir Foundry and Palantir Artificial Intelligence Platform

We are seeking an experienced GenAI Engineer specialized in Palantir Foundry and Palantir Artificial Intelligence Platform (AIP) to design, build and operationalize LLM-powered, ontology-driven AI workflows for enterprise-scale use cases.

You will work at the intersection of:

Palantir Foundry (data, ontology, pipelines, apps)

Palantir AIP (LLM agents, Logic, RAG/OAG workflows)

Production-grade GenAI systems embedded directly into business operations.

The ideal candidate brings 3+ years of overall GenAI / AI engineering experience, including 2+ years hands-on with Palantir Foundry and AIP and has delivered real-world AI workflows.

Palantir AIP & GenAI Enablement

Design and implement AIP Logic functions, agents, and AI workflows using Palantir AIP.

Build retrieval-augmented generation (RAG) and ontology-augmented generation (OAG) workflows grounded in Foundry data.

Develop copilots, decision-support agents and autonomous workflows using AIP Agent Studio, Assist, and Automate.

Integrate enterprise-grade LLMs (OpenAI, Anthropic, or OSS models) within Foundry s security and governance framework.

Implement guardrails, evaluations (AIP Evals), versioning, and human-in-the-loop controls.

Apply AI governance, explainability, and security best practices in regulated environments.

Foundry Data & Ontology Engineering

Design and evolve Foundry Ontologies to model business entities, processes, and actions.

Build scalable data pipelines and transformations using PySpark, Foundry Pipeline Builder and Transform APIs.

Ensure AI-ready datasets with strong data quality, lineage, access controls, and governance.

Build interactive AI-enabled applications using Foundry Workshop, Slate and custom frontends using TypeScript.

Collaborate with stakeholders to translate business problems into actionable GenAI solutions.

Contribute to CI/CD for AI pipelines and production workflows.

Must haves:- Palantir Foundry, Palantir AIP, LLM, RAG/OAG, GenAI, Python, Pyspark, Apache Spark, Kafka, Core Experience

5+ years of experience as a GenAI / AI / ML Engineer delivering production systems.

2+ years of hands-on experience with Palantir Foundry & AIP, including:

AIP Logic and LLM integration

Ontology design, Pipelines & transforms

Workshop / application development

RAG / agent-based workflows

Technical Skills

Strong proficiency in Python and PySpark.

Experience operationalizing LLMs and GenAI workflows (prompt design, orchestration, grounding).

Solid understanding of AI/ML fundamentals (evaluation, deployment, monitoring).

Experience with big data technologies (Apache Spark; Kafka optional).

Familiarity with AWS (S3, Glue, Lambda, Athena, Redshift) for data and AI workloads.

Experience with API integrations and enterprise data platforms.

Exposure to DevOps practices (CI/CD, Docker, Kubernetes) for AI systems.

Background in regulated industries (Financial Services, Insurance, Healthcare, Public Sector).

Palantir certifications (Foundry Data Engineer, AIP or Foundry Solution Architect).