Description

• 5+ years in data engineering, software engineering, or AI/ML engineering overall.
• 2+ years hands-on with Palantir Foundry and/or AIP in a delivery or production setting (we weight depth of real deployments over years).
• Strong Python and SQL; comfort with PySpark and at least one of TypeScript/Java.
• Proven experience building and operationalizing data pipelines and ETL/ELT against complex enterprise sources (ERP, claims, core banking, manufacturing/IoT, etc.).
• Practical experience with LLMs and agentic AI — prompt/agent design, tool use, retrieval, evaluation, and the guardrails that make agents safe in production.
• Excellent client-facing communication — you can lead a technical conversation with a CIO and a data engineer in the same meeting.
• Willingness to travel to client sites as engagements require.

Nice to have

• Palantir certification (Foundry Data Engineer, Application Developer, AI Engineer, or Solution Architect).
• Prior Forward Deployed Engineer experience (at Palantir or a Palantir delivery partner).
• Domain depth in insurance, healthcare, financial services, or manufacturing.
• Experience with adjacent platforms (Databricks/Mosaic AI, Microsoft Fabric + Azure AI Foundry) — we're platform-agnostic and value engineers who can meet a client on the stack they already run.
• Experience mentoring or leading small delivery teams

Key Skills

Education

Any Gradute