Palantir AI Engineer – Insurance / Financial Services

Location: Jersey City, NJ or Atlanta, GA – Onsite
Duration: Long-Term Contract
Experience: 6+ Years
Visa: H1B accepted
Rate: $70–$80/hour C2C

We are looking for an experienced Palantir AI Engineer to join a long-term enterprise program within the Insurance / Financial Services sector.

This role will focus on designing and delivering production-grade AI solutions across Palantir Foundry and AIP, with a strong emphasis on Generative AI, LLMs, RAG, ontology-driven applications and scalable data engineering.

You will work closely with technical and business stakeholders to take AI use cases from concept through production, building intelligent applications, agents and data products within a highly regulated enterprise environment.

Key Responsibilities

• Build and operationalize LLM-powered and ontology-driven AI workflows using Palantir Foundry and AIP.
• Develop solutions using AIP Logic, AIP Agents, RAG and OAG-style workflows.
• Design, build and evolve Palantir Foundry Ontologies, including objects, relationships, actions and business logic.
• Build scalable data pipelines using Python, PySpark, Apache Spark, Pipeline Builder and Transform APIs.
• Develop AI-enabled applications using Workshop, Slate, TypeScript and Palantir application tooling.
• Integrate enterprise LLMs including OpenAI, Anthropic and open-source models.
• Design grounding, orchestration and retrieval strategies for enterprise Generative AI applications.
• Implement AI guardrails, evaluations, governance, access controls and human-in-the-loop processes.
• Integrate Palantir with enterprise data and streaming platforms, including Kafka.
• Support deployment, monitoring and ongoing optimization of production-grade GenAI solutions.
• Partner with business stakeholders to understand complex requirements and translate them into scalable Palantir solutions.

Required Experience

• 6+ years of overall software, data, AI or machine learning engineering experience.
• 5+ years working across AI, ML or Generative AI engineering.
• 2+ years of hands-on experience with Palantir Foundry and Palantir AIP.
• Strong hands-on expertise with Python and PySpark.
• Strong understanding of LLMs, RAG, grounding, orchestration and agent-based AI workflows.
• Experience building and maintaining Palantir Ontologies.
• Experience working with Apache Spark and Kafka.
• Strong knowledge of enterprise data engineering and data integration patterns.
• Experience deploying AI solutions into production environments.
• Ability to operate effectively within regulated and security-conscious environments.

Preferred Experience

• Experience within Insurance or Financial Services.
• Healthcare or Public Sector experience will also be considered.
• AWS experience.
• Experience with CI/CD, Docker and Kubernetes.
• Experience building applications using Workshop, Slate or TypeScript.
• Experience implementing AI governance, model evaluation and responsible AI controls.

Ideal Profile

The ideal candidate combines strong Palantir engineering capability with modern Generative AI experience. You should be comfortable working across data pipelines, Ontology, AIP and application development rather than operating solely as a traditional ML Engineer.

This is a hands-on engineering role for someone capable of taking complex enterprise AI use cases from prototype through production.