Forward Deployed AI Engineer (Palantir)

HRB; Dallas (TX); On-site; USD 120,000 - 180,000; Full time

Job summary

HRB is seeking a Forward Deployed AI Engineer to spearhead end-to-end AI workflows from problem decomposition to field deployment. You will work closely with enterprise partners to deliver production-grade generative AI solutions and continuously improve AI platforms.

The role requires hands-on leadership, strong communication with clients, and the ability to travel up to 25% to client sites for deployments and support.

Qualifications

• Gen AI & LLM experience required.
• Solid grounding in ML core concepts including evaluation, training, and fine-tuning.
• Ability to translate business problems into AI implementations.
• Willingness to travel up to 25% to client sites.

Responsibilities

• Build, deploy, and optimize end-to-end LLM workflows and data processing pipelines for production.
• Partner with technical and non-technical stakeholders to translate challenges into AI solutions.
• Capture field insights to refine AI product platforms and tooling.
• Collaborate in agile, cross-functional teams to prototype, validate, and scale AI solutions at client sites.

Skills

Gen AI & LLM Experience

ML Fundamentals

Business & Communication Skills

Travel Availability

Education

Bachelor’s or Master’s degree in CS/SE/Math/Physics/ML

Tools

Python

Job description

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

This role operates much like a hands-on AI startup technical leader—taking concepts from problem decomposition and prototyping all the way to robust, scalable field deployment.

Core Responsibilities

Solution Architecture & Delivery:Build, optimize, and deploy end-to-end LLM workflows, data processing pipelines, and advanced analytics tools into production.

Client & Business Strategy:Partner directly with technical and non-technical stakeholders to translate complex operational challenges into actionable AI implementations.

Product Feedback Loop:Capture field insights and user feedback to inform and refine internal core AI product platforms and tooling.

Iterative Problem Solving:Work in agile, cross-functional teams to rapidly prototype, validate, and scale AI solutions in dynamic client environments.

Key Qualifications

Gen AI & LLM Experience:Proven track record of building and deploying solutions utilizing Large Language Models (LLMs) and modern Generative AI frameworks.

Machine Learning Fundamentals:Solid grounding in ML core concepts, including evaluation methodologies, model training/fine-tuning, and problem decomposition.

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 problems rather than academic benchmarks, with strong communication skills for client-facing collaboration.

Willingness to Travel:Ability and willingness to travel to client sites as needed (up to 25%).