Senior Data / AI Engineer

. Build and manage Foundry data pipelines, ontology components, and applications .

Posted 9/25/2026full-timeRemote • Romania, Costa RicaSeniorWebsite

Tools & technologies

Azure

Key responsibilities & impact

Build and manage Foundry data pipelines, ontology components, and applications
Design semantic and context layers using Palantir ontology concepts including 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
Act as the Palantir go-to person within the delivery pod
Pair with, review, and coach teammates
Work in a small delivery pod for a global consulting client
Take business problems from idea to production on Palantir Foundry and AIP

What you’ll need

Hands-on Palantir Foundry and/or AIP experience on real client or production projects
Hands-on experience building agentic or GenAI applications across experimentation, development, testing, production, and monitoring
Experience building reusable agent skills, tools, or components supporting 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 changing requirements
Strong English and clear communication with technical and business stakeholders
Able to work EST business hours
Nice to have: production deployments inside Palantir
Nice to have: Palantir Ontology Linter, Data Lineage, CBAC, and 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 OpenAI, Anthropic, or other LLM models, including model selection and cost optimization

Comp & perks