Forward Deployed Engineering Manager, Gen AI

Required Qualifications

• Bachelor's degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience.
• 8 years of experience in cloud computing or a technical customer-facing role.
• 2 years of experience managing a software engineering, forward deployed engineering, or a similar technical customer-facing team in a cloud computing environment.
• Experience in machine learning and in developing AI/Generative AI solutions utilizing AI tools and designing multi-agent workflows and retrieval-augmented generation (RAG) systems.

Preferred Qualifications

• Master's degree or PhD in AI, Computer Science, or a related technical field.
• Background in architecting AI solutions within complex infrastructures, ensuring data sovereignty and secure governance.
• Expertise in designing intuitive interfaces for complex AI and agentic systems, prioritizing context engineering, transparency, and explainability to foster user trust.
• Ability to design end-to-end secure, observable multi-agent systems using complex design patterns (e.g., ReAct, self-reflection), state management, and tool-calling protocols.
• Ability to perform deep "discovery" interviews to find the true business problem and translate complex hardware/AI constraints for C-suites and deep technical teams.

About the Job

As a Manager of a GenAI Forward Deployed Engineering (FDE) team, you will lead a squad of AI/ML engineers who bridge the gap between frontier AI products and production grade reality within customers. You are responsible for a team that doesn't just consult, but codes, debugs and jointly deploys bespoke agentic solutions directly within customer environments. In this role, you will provide deep dive technical mentorship to your team while balancing high level strategic alignment with Product, Engineering, and Google Cloud Regional Sales leadership. Your mission is to empower and unblock your team as they resolve production level obstacles, including data readiness issues, integration complexities, and state management challenges that hinder AI from achieving enterprise grade maturity.

Responsibilities

• Serve as the ultimate technical lead, establishing code standards, architectural best practices, and benchmarks to elevate engineering excellence across the team.
• Partner with sales and tech leadership to define requirements for high value opportunities, deploying specialized experts (MLOps, GenMedia, or Agentic systems) to key accounts.
• Lead technical hiring for forward deployed engineering, evaluating Artificial Intelligence/Machine Learning (AI/ML) expertise, systems engineering, and coding skills to build an engineering squad.
• Identify skill gaps in emerging tech (model context protocol (MCP), tool calling, and foundation models), ensuring the team maintains subject matter expertise in an evolving AI stack.
• Collaborate with product and engineering to resolve blockers and translate field insights into roadmaps, building internal tools to drive organizational efficiency.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents to be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

English proficiency is a requirement for all roles unless stated otherwise in the job posting.