Palantir AI Engineer (Insurance / Financial Services) !!! NY/NJ/GA (Onsite)

Position: Palantir AI Engineer (Insurance / Financial Services)

Location - Jersey City, NJ & Atlanta, GA (Onsite)

Duration: Long Term

Exp:- Minimum 6 Years of experience

Client: EXL

No GC

PLEASE SHARE COMPLETE EDUCATION DETAILS, VISA STATUS AND LINKEDIN PROFILE FOR QUICK RESPONSE.

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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