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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Lead Palantir Forward Deployed Engineer - GPS - **Company:** Deloitte T.T.L. - **Location:** New York, NY, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Software Debugging, Global Positioning Systems (GPS), Apache Maven, Large Language Models, Prompt Engineering, Information Technology, Software Coding, Data Pipelines - **Published:** August 10, 2026 - **Apply:** https://us.experteer.com/career/view-jobs/lead-palantir-forward-deployed-engineer-gps-new-york-ny-usa-58884895 ## About the Role * * Coach and mentor junior engineers and ensure delivery standards across pods * Architect and oversee LLM-enabled apps, prompt engineering, and RAG pipelines * Define evaluation frameworks (quality, latency, cost, risk, governance) and ensure production-grade quality * Review production-quality code and guide data pipeline architecture * Coordinate multi-pod engagements and ensure consistent client experience * Operate within hybrid onshore/offshore delivery models and leverage cloud platforms * Represent Deloitte's FDE capability in client pursuits and executive briefings Tasks * Bachelor's degree in Computer Science, Data Science, or Engineering; equivalent accepted * 10+ years in software/data/analytics engineering or related fields * 1+ years building and deploying GenAI/LLM-powered solutions in production * 1+ years Palantir experience (Foundry, AIP, Maven) * 1+ years leading project workstreams and translating business problems into AI solutions * 1+ years building reliable, aa engineering well-documented code * Willingness to travel ~50% * Legal authorization to work in the United States without sponsorship Key requirements * ## Description Experteer Overview In this Lead Palantir FDE role, you drive strategic GenAI initiatives for top clients as the senior engineering partner. You lead forward-deployed pods, set technical direction, and stay hands-on to design, review, and debug production systems. You translate trade-offs for executive stakeholders and influence decisions at the C-suite level. You'll manage cross-border delivery pods and ensure scalable, reliable GenAI solutions that align with client goals and Deloitte's platform capabilities. This role combines technical leadership with client engagement to shape impactful AI-enabled outcomes. Compensation / Benefits * Lead forward-deployed engineering pods (2-5 engineers) delivering GenAI solutions in production * Set technical direction, review designs, and remove delivery blockers * Engage with client leaders, translate problems into AI-enabled solutions, and define success metrics * Maintain hands-on coding and governance of end-to-end architecture and data pipelines * Coach and mentor junior engineers and ensure delivery standards across pods * Architect and oversee LLM-enabled apps, prompt engineering, and RAG pipelines * Define evaluation frameworks (quality, latency, cost, risk, governance) and ensure production-grade quality * Review production-quality code and guide data pipeline architecture * Coordinate multi-pod engagements and ensure consistent client experience * Operate within hybrid onshore/offshore delivery models and leverage cloud platforms * Represent Deloitte's FDE capability in client pursuits and executive briefings Tasks * Bachelor's degree in Computer Science, Data Science, or Engineering; equivalent accepted * 10+ years in software/data/analytics engineering or related fields * 1+ years building and deploying GenAI/LLM-powered solutions in production * 1+ years Palantir experience (Foundry, AIP, Maven) * 1+ years leading project workstreams and translating business problems into AI solutions * 1+ years building reliable, maintainable, well-documented code * Willingness to travel ~50% * Legal authorization to work in the United States without sponsorship Key requirements * ## Related Videos - [How E.On productionizes its AI model & Implementation of Secure Generative AI.](https://www.wearedevelopers.com/videos/623-how-e-on-productionizes-its-ai-model-implementation-of-secure-generative-ai) - [Unleashing the Power of Developers: Why Cybersecurity is the Missing Piece?!?](https://www.wearedevelopers.com/videos/712-unleashing-the-power-of-developers-why-cybersecurity-is-the-missing-piece) - [Why and when should we consider Stream Processing frameworks in our solutions](https://www.wearedevelopers.com/videos/1085-why-and-when-should-we-consider-stream-processing-frameworks-in-our-solutions) - [AI Killed DevOps... 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