Palantir AI engineer

Prodapt

$120K — $150K *
Enterprise Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in Computer Science, Information Technology, Software Engineering, AI, Data Science, or related field
  • Proficient in Palantir Foundry tools including Ontology, Workshop, and Pipeline Builder
  • Strong AI/ML skills with knowledge of AIP Logic and LLM orchestration
  • Expert in Python and PySpark, with familiarity in TypeScript/SQL considered beneficial
  • Experience in data modeling and managing large datasets
  • Knowledge of CI/CD practices for machine learning models

Responsibilities

  • Design and implement AIP Logic functions with LLM integrations
  • Map business processes into Foundry Ontology for better AI understanding
  • Develop data pipelines using PySpark to ensure high-quality data inputs
  • Create and refine prompts to build decision-support tools and autonomous agents
  • Build user-friendly front-end applications for AI insights using Workshop and Slate
  • Establish governance frameworks to ensure AI outputs are reliable and ethical

Benefits

  • Opportunity to work with cutting-edge AI technology and frameworks
  • Engagement in high-impact projects that solve complex operational challenges
  • Chance to contribute to the architecture of integrated AI applications
  • Collaborative environment with a focus on innovative problem-solving
  • Access to professional development and Palantir certifications
Full Job Description
As an AI Engineer (Palantir Foundry & AIP)you will be the architect of our intelligence layer. You won't just be building models in isolation; you will be leveraging Palantir Foundry and AIP to create integrated, "human-in-the-loop" AI applications. Your goal is to transform static data assets into dynamic, agentic workflows that solve complex operational challenges.

Responsibilities

Key Responsibilities
* AIP Logic & Tooling: Design and implement AIP Logic functions and integrate LLMs (Large Language Models) into Foundry workflows.
* Ontology Architecture: Map complex business processes into the Foundry Ontology, ensuring AI models have a structured, semantic understanding of the organization.
* Pipeline Development: Build robust data pipelines using PySpark and Foundry Data Connection to feed high-quality data into AI features.
* Prompt Engineering & Orchestration: Develop and refine prompts and use AIP Assist or Automate to create autonomous agents and decision-support tools.
* Application Building: Use Workshop and Slate to build intuitive front-end interfaces where end-users can interact with AI insights.
* Governance & Ethics: Implement rigorous testing, versioning, and "checks and balances" within the AIP framework to ensure AI outputs are safe, reliable, and explainable.


Requirements

I Bachelor's degree in Computer Science, Information Technology, Software Engineering, Artificial Intelligence, Data Science, Computer Engineering, Electrical Engineering, or a related technical discipline

| Palantir Core | Proficiency in Foundry Ontology, Workshop, Contour, and Pipeline Builder. |
| AI/ML Skills | Deep understanding of AIP Logic, LLM orchestration (RAG), and prompt engineering. |
| Languages | Expert-level Python and PySpark. Familiarity with TypeScript/SQL is a plus. |
| Data Engineering | Experience with data modeling, ETL/ELT, and managing large-scale datasets. |
| DevOps/Mojo | Knowledge of Foundry's modeling objective (Mojo) and CI/CD for ML models. |


Preferred Experience
* Experience building Agentic Workflows (AI that can take actions, not just answer questions).
* A background in a highly regulated industry (Finance, Healthcare, Defense) where data privacy and security are paramount.
* Palantir certifications (e.g., Foundry Data Engineer or Foundry Public Sector).


The Ideal Candidate
You are a "full-stack" data thinker. You don't wait for a clean dataset; you go into the Foundry filesystem, find what you need, model it into the Ontology, and wrap an AIP-driven solution around it. You value security-first AI and understand that an LLM is only as good as the data it can access.

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