Palantir AI Engineer – Insurance / Financial Services
Location: Jersey City, NJ or Atlanta, GA (Onsite)
Contract: Long-Term Contract
Rate: $70–$80/hour C2C
About the role
Our client is delivering a long-term enterprise programme within the Insurance and Financial Services sector, and is looking for an experienced Palantir AI Engineer to join the team. This is a hands-on engineering role focused 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 to production, building intelligent applications, agents and data products within a highly regulated enterprise environment. The role combines strong Palantir engineering capability with modern Generative AI experience, spanning data pipelines, Ontology, AIP and application development rather than sitting solely within a traditional ML Engineer remit.
This is an opportunity to take complex enterprise AI use cases from prototype through to production, working across the full Palantir stack in a business-critical, regulated setting.
Main responsibilities
- Build and operationalise 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 optimisation of production-grade GenAI solutions
- Partner with business stakeholders to understand complex requirements and translate them into scalable Palantir solutions
Requirements
Essential
- 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
- H1B visa holders welcome to apply
Desirable
- Experience within Insurance or Financial Services
- Healthcare or Public Sector experience also 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
The offer
This is a long-term contract engagement, engaged on a C2C basis at $70–$80 per hour, based onsite in either Jersey City, NJ or Atlanta, GA.
This is a hands-on, high-impact engineering role within a regulated enterprise environment, offering genuine ownership over production-grade Generative AI solutions built on the Palantir platform, working alongside technical and business stakeholders on some of the organisation’s most complex AI use cases.
If you’re an experienced Palantir engineer looking to combine ontology-driven engineering with modern GenAI application development in a long-term, high-visibility contract, we’d like to hear from you. Apply below.