Forward Deployed Engineering Manager, GenAI, Cloud Consulting, LATAM (English, Portuguese/Spanish)

Minimum qualifications:

• Bachelor’s degree in Engineering, Computer Science, a related field, 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 (FDE), or technical customer-facing team in a cloud computing environment.

• Experience in Python or similar coding languages.

• Experience developing AI/GenAI solutions utilizing AI tools, or designing multi-agent workflows or RAG systems.

• Ability to communicate in English and Portuguese or Spanish fluently for customer interactions.

Preferred qualifications:

• Master’s degree or PhD in AI, Computer Science, or a related technical field.

• Experience designing end-to-end secure, observable multi-agent systems using complex design patterns (e.g., ReAct, self-reflection), state management, and tool-calling protocols.

• Experience designing intuitive interfaces for complex AI and agentic systems, prioritizing context engineering, transparency, and explainability to foster user trust.

• Experience architecting AI solutions within complex infrastructures, ensuring data sovereignty and secure governance.

• Experience performing discovery interviews to identify business problems and translate complex hardware/AI constraints for C-suites and technical teams.

About the job:

As a Manager of a GenAI Forward Deployed Engineering (FDE) team for Google Cloud Consulting, you will lead AI/ML engineers who bridge the gap between frontier AI products and production-grade reality within customers. You will be 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 in-depth technical mentorship to your team while balancing high-level 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 issues that hinder AI from achieving enterprise-grade maturity.

Responsibilities:

• Serve as the 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 (e.g., MLOps, GenMedia, or Agentic systems) to key accounts.

• Lead technical hiring for FDE, evaluating AI/ML expertise, systems engineering, and coding skills to build an exceptional engineering team.

• Identify skill gaps in emerging tech (e.g., 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 while building internal tools to drive organizational efficiency.