Lead Data & AI Engineer – Palantir Foundry, AIP

• Build and manage Foundry data pipelines, ontology components, and applications
• Design semantic and context layers using Palantir ontology Object, Link, and Action Types, Interfaces, and Property Sets
• Build LLM-powered workflows with AIP Logic, AIP Automate, and AIP Assist
• Take agentic AI use cases from prototype to production by building, testing, deploying, and monitoring them
• Serve as the team's Palantir lead while remaining hands-on
• Guide solution design, review code, coach engineers, and resolve technical blockers
• Own technical delivery and translate business requirements into implementation plans through production deployment
• Lead technical discussions with client stakeholders and explain design decisions, trade-offs, dependencies, and delivery risks

• Hands-on Palantir Foundry and/or AIP experience on real client or production projects
• Experience developing agentic or GenAI applications strongly preferred
• 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 changing requirements
• Strong English and clear communication with technical and business stakeholders
• Ability to work EST business hours
• Nice to have: Solutions deployed to production inside Palantir
• Nice to have: Ontology Linter, Data Lineage, CBAC, Foundry Marketplace
• Nice to have: Semantic layers, ontologies, or knowledge graphs
• Nice to have: Azure, Azure AI Foundry, Databricks / Genie
• Nice to have: CI/CD with GitHub and DevOps / DevSecOps tooling
• Nice to have: Experience deploying models from OpenAI, Anthropic, or other LLM providers, including model selection and cost optimization
• Nice to have: Experience building reusable agent skills, tools, or components

• Remote work
• Full-time employment