Lead Anthropic Forward Deployed Engineer - GPS

About the role

The Deloitte AI & Engineering team transforms technology platforms and drives innovation to support clients' success. As a Lead Anthropic FDE, you will lead engineering pods that develop and deploy GenAI solutions for strategic clients.

Responsibilities

• Serve as the senior client-facing presence, building trusted advisor relationships with 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 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-coordinate multi-pod or multi-workstream engagements, ensuring 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.
• 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% based on the work you do and the clients and industries/sectors you serve.
• Legally authorized 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.

Qualifications

• Preferred: Experience with MLOps/LLMOps practices: evaluation frameworks, model monitoring, and prompt management.
• Experience operating within hybrid onshore/offshore teams.