Forward Deployed Engineer – Palantir

Arlington/Rosslyn, Virginia, United States Atlanta, Georgia, United States Austin, Texas, United States Boston, Massachusetts, United States Charlotte, North Carolina, United States Chicago, Illinois, United States Cincinnati, Ohio, United States Cleveland, Ohio, United States Columbus, Ohio, United States Costa Mesa, California, United States Dallas, Texas, United States Denver, Colorado, United States Detroit, Michigan, United States Houston, Texas, United States Indianapolis, Indiana, United States Kansas City, Missouri, United States Los Angeles, California, United States Mc Lean , Virginia, United States Miami, Florida, United States Minneapolis, Minnesota, United States Morristown, New Jersey, United States Nashville, Tennessee, United States New York, New York, United States Philadelphia, Pennsylvania, United States Pittsburgh, Pennsylvania, United States Sacramento, California, United States San Diego, California, United States San Francisco, California, United States San Jose, California, United States Seattle, Washington, United States St.

Louis, Missouri, United States Stamford, Connecticut, United States Tampa, Florida, United States Tempe, Arizona, United States

At Deloitte, Forward Deployed Engineers (FDE) don’t just build AI solutions, they help clients turn AI ambition into enterprise-scale impact, pairing leading class engineering with pod-based delivery and vertical expertise. If you thrive at the intersection of product, engineering, problem-solving, and client impact, this role puts you at the forefront of AI transformations.

Recruiting for this role ends on 05/31/2026.

• Embed with clients to identify business needs and translate high-value GenAI use cases into solutions.
• Partner with leaders, product owners, architects, and engineers to align priorities and delivery.
• Lead working sessions to shape solutions and drive client outcomes.
• Prototype and deliver working AI solutions using industry expertise and emerging capabilities.
• Contribute independently within an FDE pod while mentoring newer team members.

• Build AI-enabled solutions, agentic platforms, and workflows across enterprise AI platforms.
• Develop scalable AI engineering patterns, tool-use approaches, and human-in-the-loop controls.
• Apply architecture decisions that balance quality, safety, latency, cost, and model risk.
• Deliver production-quality code using strong practices in testing, CI/CD, logging, versioning, and documentation.
• Design extensible functionality, support sprint sizing, and align solutions with senior team members.
• Contribute reusable assets including code, prompt libraries, runbooks, and reference implementations.

AI & Engineering leverages cutting‑edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission‑critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client’s unique requirements.

• Bachelor’s degree (or equivalent) in Computer Science, Data Science or Engineering.
• 3+ years of experience in software engineering, data engineering, data science, or analytics engineering.
• 1+ year of hands‑on experience building and deploying GenAI/LLM‑powered solutions in client or production environments.
• 1+ years of experience with Palantir including hands‑on experience with one of the following key platforms/products;
  Foundry, AIP, Maven.
• 1+ years of experience leading project work streams/engagements and translating business problems into AI solutions.
• 1+ years of experience building reliable, maintainable, and well‑documented code.
• Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.
• Limited immigration sponsorship may be available.

• Experience with cloud environments (AWS, Azure, and/or Google Cloud) and…