Forward Deployed AI Engineer (Palantir)

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

Job Description: Forward Deployed AI Engineer

Role Overview

As aForward 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 leveragingPalantir 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 withinPalantir AIP (Artificial Intelligence Platform) andPalantir Foundry.

• Ontology-Grounded AI Workflows: Map complex enterprise domain logic intoPalantir 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 onPalantir Foundry and/orPalantir 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 inPython (includingPySpark / 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.

• OfficialPalantir 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).