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Software Mind
AI Engineer

[OWD] Senior Palantir Data / AI Engineer

On-siteSeniorAI Engineerposted 1w ago
✦Role summaryAI-generated

Senior Palantir Data / AI Engineer will design and deploy Foundry data pipelines and ontology components, integrating LLM-powered workflows with AIP Logic, Automate, and Assist. The role requires hands‑on experience building agentic AI solutions from prototype to production, while mentoring teammates within the pod.

Skills required

About this role

What you'll do

  • Build and manage Foundry data pipelines, ontology components, and applications
  • Design semantic and context layers with Palantir's ontology: Object, Link, and Action Types, Interfaces, Property Sets
  • Build LLM-powered workflows with AIP Logic, AIP Automate, and AIP Assist
  • Take agentic AI use cases from prototype to production: build, test, deploy, monitor
  • Act as the Palantir go-to within your pod by pairing, reviewing, and coaching teammates

Qualifications

What we're looking for

  • Hands-on Palantir Foundry and/or AIP experience on real client or production projects
  • Hands-on experience building agentic or GenAI applications, across several stages of the lifecycle (experimentation, development, testing, production, monitoring)
  • Experience building reusable agent skills, tools, or components that support multiple use cases
  • Strong software engineering and problem-solving skills
  • Experience integrating AI with enterprise data sources, APIs, and business systems
  • Solid data engineering background across structured and unstructured data
  • Comfortable with fast delivery cycles and requirements that change
  • Strong English and clear communication with both technical and business people
  • Able to work EST business hours

Nice to have

  • Solutions deployed to production inside Palantir
  • Ontology Linter, Data Lineage, CBAC, Foundry Marketplace
  • Semantic layers, ontologies, or knowledge graphs (Azure, AWS, GCP, Palantir, or Databricks)
  • Azure, Azure AI Foundry, Databricks / Genie
  • CI/CD with GitHub, DevOps / DevSecOps tooling
  • Experience deploying models from OpenAI, Anthropic, or other LLM providers, including model selection and cost optimization
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