Forward-Deployed AI Engineering Leader — Production LLMs

Greybridge Search & Selection; New York (NY); On-site; USD 180,000 - 280,000; Full time

Job summary

Greybridge Search & Selection is seeking an engineering people leader to run a Forward Deployed Engineering team delivering production AI to enterprise clients in tax and audit. You will hire, coach and develop senior engineers, and own staffing, capacity planning, and client relationships across multiple engagements.

You will lead a team that ships production LLM applications, including RAG, AI agents, integrations, evaluation and observability, while maintaining high standards of delivery

Qualifications

• 10+ years in software engineering or technical consulting.
• 5+ years managing engineering teams.
• Experience shipping LLM applications into production.
• Strong technical judgment and credibility with senior engineers.
• Background in AI leadership within consulting or forward-deployed environments.

Responsibilities

• Hire, coach and develop senior engineers.
• Lead a team that ships production LLM applications, including RAG, AI agents, integrations, evaluation and observability.
• Own staffing, capacity planning, utilization and forecasting across multiple client engagements.
• Manage senior client stakeholders, and own delivery quality, risks and escalations.
• Use AI coding tools regularly and build them into how the team works.

Skills

Team leadership

LLM production delivery

Staffing & forecasting

Client relationship management

AI tooling adoption

Tools

AI coding tools

LLM platforms

Observability tooling

Job description

Greybridge Search & Selection is seeking an engineering people leader to run a Forward Deployed Engineering team delivering production AI to enterprise clients in tax and audit. You will hire, coach and develop senior engineers, and own staffing, capacity planning, and client relationships across multiple engagements.

You will lead a team that ships production LLM applications, including RAG, AI agents, integrations, evaluation and observability, while maintaining high standards of delivery