Palantir Engineer

Xinova Group

United States

On-site

USD 150,000 - 190,000

Full time

6 days ago
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Job summary

Xinova Group is seeking a hands-on Palantir Foundry engineer to design and maintain pipelines, ontology objects, relationships, and Actions across enterprise data sources.

You will build Workshop applications, connect external tools via the Ontology SDK, and develop AIP workflows grounded in enterprise data with strong SQL and Python/PySpark skills.

You will work closely with business users to scope problems, prototype solutions, and ensure production deployments meet operational needs.

Qualifications

  • Hands-on experience delivering Palantir Foundry solutions in production.
  • Experience building operational applications in Workshop or integrating applications with the Ontology SDK.
  • Experience building an AIP use case grounded in enterprise data.
  • Strong SQL and Python or PySpark skills with the ability to implement business logic in Foundry Functions.
  • Ability to scope open-ended business problems into operable solutions.

Responsibilities

  • Data engineering: Build and maintain Foundry pipelines that ingest, transform, and validate data from enterprise systems.
  • Ontology development: Design Object Types, Link Types, and Action Types in Ontology Manager; map backing datasets and build Functions.
  • Application development: Build Workshop applications that let users investigate issues, make decisions, and update records.
  • AI engineering: Build AIP workflows, ground model outputs in Ontology data, and connect workflows to approved tools and Actions.
  • Production delivery: Test and deploy pipelines, applications, and AI workflows; troubleshoot data, permissions, and behavior.
  • Stakeholder engagement: Work directly with business users to identify use cases, prototype solutions, and iterate in production.

Skills

SQL
Python
PySpark
Business logic implementation

Tools

Palantir Foundry
Ontology SDK
Workshop
Foundry Functions

Job description

  • Data engineering: Build and maintain Foundry pipelines that ingest, transform, and validate data from enterprise systems, APIs, and databases.
  • Ontology development: Design Object Types, Link Types, and Action Types in Ontology Manager. Map backing datasets, define permissions, and build Functions that support business rules and writeback.
  • Application development: Build Workshop applications that let users investigate issues, make decisions, and update records. Integrate external applications through the Ontology SDK where needed.
  • AI engineering: Build AIP workflows using AIP Logic and AIP Agents. Ground model outputs in Ontology data, connect workflows to approved tools and Actions, and add human review where decisions carry operational consequences.
  • Production delivery: Test and deploy pipelines, applications, and AI workflows. Evaluate AI outputs against real scenarios and troubleshoot issues across data, permissions, and application behavior.
  • Stakeholder engagement: Work directly with business users to identify use cases, prototype solutions, and improve them based on how teams use them in production.
What we’re looking for
  • Hands-on experience delivering Palantir Foundry solutions in production, including building pipelines and implementing Ontology objects, relationships, and Actions.
  • Experience building operational applications in Workshop or integrating applications with the Ontology SDK.
  • Practical experience building an AIP use case, such as an assistant, document-processing workflow, or decision-support tool grounded in enterprise data.
  • Strong SQL and Python or PySpark skills, with the ability to implement business logic in Foundry Functions.
  • Ability to take an open-ended business problem, scope the work, and deliver a solution users can operate and support.
Nice to have
  • TypeScript experience with Foundry Functions or the Ontology SDK.
  • Experience evaluating LLM outputs, testing tool calls, or designing human approval workflows.
  • Experience integrating Foundry with ERP, CRM, or other operational systems.
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