Lead Anthropic Forward Deployed Engineer - GPS

About the role

The Deloitte AI & Engineering team transforms technology platforms, drives innovation, and makes a significant impact on clients' success. As a Lead Anthropic FDE, you will lead forward-deployed engineering pods that develop and deploy GenAI solutions for Deloitte's most strategic clients.

Responsibilities

• Serve as the senior client-facing presence, building trusted advisor relationships as the senior engineering partner for client product, data, and platform leaders
• Navigate organizational complexity and influence to align executive sponsors, IT leadership, and business owners around a shared vision
• 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
• Enforce delivery standards across the pod, including sprint cadences, stakeholder communication plans, risk management, and quality gates
• Cross-functional pod leadership and program governance, coordinating multi-pod or multi-workstream engagements to ensure reliable architecture and consistent client experience
• Mentor and develop junior FDEs
• Architect and oversee delivery of LLM-enabled applications, setting 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
• 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
• 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 Anthropic, including hands-on experience with one of the following key platform technologies: Claude API, Claude for Enterprise, tool use, extended thinking, Claude Code
• 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% on average based on the work you do and the clients and industries/sectors you serve

Qualifications

• Legal authorization to work in the United States without the need for employer sponsorship, now or at any time in the future
• Experience with cloud environments (AWS, Azure, and/or Google Cloud) and common platform services (storage, compute, IAM, networking)
• Demonstrated ability to work directly alongside client technical teams and program stakeholders in fast-paced, ambiguous delivery environments
• Data engineering experience with Spark, Airflow/dbt, streaming, data modeling, or ML/data science background feature engineering, experimentation, or model evaluation
• Experience integrating LLM solutions with enterprise systems via APIs, microservices, or event-driven architectures
• Familiarity with security, privacy, and compliance considerations