Palantir AI Engineer (Insurance / Financial Services)

Role - Palantir AI Engineer (Insurance / Financial Services) Location - Jersey City, NJ (Onsite) Job Description: 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. Required Experience & Skills 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).