Forward Deployed AI Engineer (Palantir)

Here is the updated Job Description with Palantir Platform & Ecosystem experience (AIP Foundry Ontology) seamlessly integrated across the Overview Responsibilities and Qualifications.

As a Forward Deployed AI Engineer you will sit at the intersection of AI engineering product strategy and enterprise client delivery. Working closely with enterprise partners you will own the end-to-end strategy architecture and deployment of production-grade Generative AI workflows and Ontology-driven applications to address high-stakes real-world challenges.

This role operates much like a hands-on AI startup technical leadertaking concepts from problem decomposition data integration and prototyping all the way to robust scalable field deployment leveraging Palantir platforms (AIP Foundry).

• Solution Architecture & Platform Delivery: Design build optimize and deploy end-to-end LLM workflows data pipelines (PySpark/Python) and generative AI tools natively within Palantir AIP (Artificial Intelligence Platform) and Palantir Foundry.

• Ontology-Grounded AI Workflows: Map complex enterprise domain logic into Palantir Ontologies connecting unstructured LLM tool-calling and agentic reasoning directly to structured operational datasets and downstream actions.

• Client & Business Strategy: Partner directly with technical leads and executive stakeholders to translate complex operational challenges into actionable AI implementations and clear business outcomes.

• Product Feedback Loop: Capture field insights client requirements and edge-case operational failures to directly inform and refine internal core AI product platforms tooling and reusable Palantir AIP components.

• Iterative Problem Solving: Work in agile cross-functional teams to rapidly prototype validate and scale production-ready AI solutions and custom user interfaces (e.g. AIP Logic Workshop Slate).

• Palantir Ecosystem Expertise:

  • Proven experience building and deploying applications on Palantir Foundry and/or Palantir AIP.

  • Hands-on experience with Palantir Ontology modeling AIP Logic Workshop/Slate frontend design and data transform pipelines.

• Gen AI & LLM Engineering:

  • Proven track record of building and deploying solutions utilizing Large Language Models (LLMs) RAG architectures prompt engineering and agentic tool-calling frameworks.

• Machine Learning & Evaluation Fundamentals:

  • Solid grounding in ML core concepts including evaluation methodologies (evals) guardrails model fine-tuning and problem decomposition.

• Software & Data Engineering Proficiency:

  • Strong coding skills in Python (including PySpark / Spark for high-volume data transforms).

  • Proficiency in additional languages such as TypeScript/JavaScript Java or C.

• Engineering Background:

  • Bachelors or Masters degree (or equivalent practical experience) in Computer Science Software Engineering Mathematics Physics Machine Learning or a related technical field.

• Business & Communication Skills:

  • Ability to solve business-oriented operational problems rather than academic benchmarks.

  • Strong client-facing communication skills to bridge technical architectures with executive decision-makers.

• Willingness to Travel:

  • Ability and willingness to travel to client sites as needed (up to 25%).

• Experience with cloud infrastructure (AWS Azure GCP) containerization (Docker Kubernetes) and DevOps / CI-CD pipelines.

• Official Palantir Certifications (Palantir Foundry Data Engineer Application Developer or AIP Specialist).

• Hands-on experience deploying AI systems in high-compliance or complex environments (Federal/Defense Healthcare Finance or Supply Chain).