Lead Palantir Forward Deployed Engineer - GPS

About the role

The Deloitte AI & Engineering team transforms technology platforms and drives innovation for our clients. You will work with talented professionals to reengineer operations and processes, helping clients improve financial performance and fuel growth through innovation.

Responsibilities

• Serve as the senior practitioner-leader embedded directly with our most strategic clients, leading forward-deployed engineering pods that develop and deploy GenAI solutions into production.
• Set technical direction, remove delivery blockers, and stay hands-on; designing, reviewing, and debugging systems with the team.
• Translate engineering trade-offs into clear decisions for client leaders when needed.
• Represent Deloitte's FDE capability in client pursuits, executive briefings, and platform partner engagements.
• Lead FDE pods of 2-5 onshore-anchored and offshore-supported engineers, owning execution, resource management, escalations, and overall delivery health.
• Set direction for prompt engineering, tool-use patterns, and human-in-the-loop controls.
• Define evaluation frameworks covering quality, hallucination risk, safety, latency, cost, and governance; ensure the pod meets agreed engineering quality bars to these standards.
• Review and contribute to production-quality code.
• Guide architecture of data pipelines powering GenAI use cases.
• Enforce strong data management, testing, CI/CD, logging, versioning, and documentation practices.
• Deeply familiar with cloud environments (AWS, Azure, and/or Google Cloud).

Requirements

• Bachelor's degree (or equivalent) in Computer Science, Data Science, or Engineering.
• Active US government security clearance.
• 10+ years of experience in software engineering, data engineering, data science, or analytics engineering.
• 1+ years 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 platform technologies: Foundry, AIP, Maven.
• 1+ years of experience leading project workstreams/engagements and translating business problems into AI solutions.
• 1+ years of experience building reliable, maintainable, and well-documented code.
• Ability to travel 50% based on the work you do and the clients and industries/sectors you serve.

Qualifications

• Experience with cloud environments (AWS, Azure, and/or Google Cloud) and common platform services (storage, compute, IAM, networking).
• Data engineering experience with Spark, Airflow/dbt, streaming, data modeling, or ML/data science background feature engineering, experimentation, or model evaluation.
• Experience with MLOps/LLMOps practices: evaluation frameworks, model monitoring, and prompt management.
• Experience integrating LLM solutions with enterprise systems via APIs, microservices, or event-driven architectures.
• Experience operating within hybrid onshore/offshore teams.
• Familiarity with security, privacy, and compliance considerations.