Live opening · Posted 14 days ago
At a glance
The key details from the original listing.
About the role
Description supplied by the original job listing.
Senior Palantir Foundry | Artificial Intelligence Platform (AIP) Engineer | Workshop Development Typescript
Contract Type: Freelance (Autonomo)
Duration: 6-12 months initial contract, extension possible
Daily rate: Negotiable
Languages: Spanish & English
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
Work arrangement
Yes
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