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Senior Palantir Engineer

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Onsite

Senior Palantir Engineer

Empiric

Senior Palantir Engineer

Skills

TypescriptAIPySparkCompliance

1 month ago

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Important information


Contract type:

Freelance / Contract

Location:

United States

Work mode:

Onsite

Published on:

26 September 2026

What they need


Senior Palantir Foundry | Artificial Intelligence Platform (AIP) Engineer | Workshop UI Engineer with Typescript

Contract Type: Freelance (B2B)

Duration: 6-12 months initial contract, extension possible

Daily rate: Negotiable

We are hiring several positions across Palantir including Palantir Foundry Data Enginerr, Palantir Artificial Intelligence Platform (AIP) Engineer, Palantir Workshop UI Engineer with Typescript with Senior/Lead experience , to support enterprise AI transformation programs for a fast growing IT services company.

You will design, build, and deploy workflows using Palantir Foundry or Artificial Intelligence , enabling real time decision intelligence for global enterprise clients across financial services, manufacturing, energy, and public sector domains.

Key Responsibilities

  • Design and implement AI driven applications using Palantir Artificial Intelligence Platform (AIP)
  • Build and optimize ontology based data models within Palantir Foundry
  • Integrate Large Language Models (LLMs) into enterprise workflows using AIP agents and pipelines
  • Develop production ready data pipelines and AI workflows
  • Collaborate with data engineers, platform teams, and client stakeholders
  • Translate business problems into scalable AI solutions
  • Ensure security, governance, and compliance within AI deployments
  • Contribute to architecture decisions for large scale AI platforms

Required Skills and Experience

Core Requirements

  • Foundry Data Engineer: 5+ Palantir
  • Palantir AIP Engineer: AIP end-to-end
  • Palantir WorkshopUI Engineer: TypeScript, Ontology, Workshop development
  • Hands on experience with Palantir Foundry and/or Palantir Artificial Intelligence Platform (AIP)
  • Strong understanding of data modeling and ontology design
  • Experience integrating LLMs such as OpenAI, Anthropic, or open source models
  • Strong Pyspark programming skills
  • Experience building production grade data pipelines

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