Position: Palantir AI Engineer (Insurance / Financial Services)
Location - Jersey City, NJ (Onsite)
Duration: Long Term
Client: EXL
Must haves:- Palantir Foundry, Palantir AIP, LLM, RAG/OAG, GenAI, Python, Pyspark, Apache Spark, Kafka
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).
Best Regards,
Rakesh Sharma
E-mail:
Hangout:
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