
Lead Data & AI Engineer β Palantir Foundry, AIP
Posted 1 day ago

Posted 1 day ago
This is a fully remote position, open to applicants in Costa Rica.
β’ Develop and oversee Foundry data pipelines, ontology components, and applications.
β’ Create semantic and context layers utilizing Palantir ontology Object, Link, and Action Types, Interfaces, and Property Sets.
β’ Construct LLM-driven workflows with AIP Logic, AIP Automate, and AIP Assist.
β’ Transition agentic AI use cases from prototype to production by building, testing, deploying, and monitoring them.
β’ Act as the Palantir lead for the team while staying actively involved.
β’ Direct solution design, review code, mentor engineers, and address technical challenges.
β’ Take ownership of technical delivery and convert business requirements into execution plans through production deployment.
β’ Facilitate technical discussions with client stakeholders, clarifying design decisions, trade-offs, dependencies, and delivery risks.
β’ Practical experience with Palantir Foundry and/or AIP on real client or production projects.
β’ Strong preference for experience in developing agentic or GenAI applications.
β’ Excellent software engineering and problem-solving capabilities.
β’ Background in integrating AI with enterprise data sources, APIs, and business systems.
β’ Solid experience in data engineering across both structured and unstructured data.
β’ Adaptability to rapid delivery cycles and changing requirements.
β’ Proficient in English with effective communication skills for both technical and business stakeholders.
β’ Must be able to work during EST business hours.
β’ Nice to have: Solutions deployed to production within Palantir.
β’ Nice to have: Familiarity with Ontology Linter, Data Lineage, CBAC, and Foundry Marketplace.
β’ Nice to have: Knowledge of semantic layers, ontologies, or knowledge graphs.
β’ Nice to have: Experience with Azure, Azure AI Foundry, Databricks / Genie.
β’ Nice to have: CI/CD experience with GitHub and DevOps / DevSecOps tools.
β’ Nice to have: Background in deploying models from OpenAI, Anthropic, or other LLM providers, including model selection and cost optimization.
β’ Nice to have: Experience in creating reusable agent skills, tools, or components.
β’ Opportunity for remote work.
β’ Full-time employment.
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