Lead Data & AI Engineer – Palantir Foundry, AIP

Posted 1 day ago

This is a fully remote position, open to applicants in Costa Rica.

πŸ“‹ Description

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.


⛳️ Requirements

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.


🏝️ Benefits

β€’ Opportunity for remote work.

β€’ Full-time employment.

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