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Forward Deployed AI Engineer (Palantir)

  • Dallas, TX

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

Job Description: Forward Deployed AI Engineer

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).