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.

Role Overview

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 leader—taking concepts from problem decomposition, data integration, and prototyping all the way to robust, scalable field deployment leveraging Palantir platforms (AIP, Foundry).

Core Responsibilities

• 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).

Key Qualifications

Required Experience & Technical Skills

• 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:

  • Bachelor’s or Master’s 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%).

Preferred / Bonus Qualifications

• 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).