Forward Deployed Architect Manager, Generative AI, Google Cloud

United States Digital Space LLC; Singapore; On-site; SGD 232,437 - 361,569; Full time

Job summary

United States Digital Space LLC is seeking a Manager of the Generative AI Forward Deployed Architect (FDA) team to lead architects across the Great China region. You will manage a team that codes, debugs and deploys bespoke agentic solutions directly within customer environments.

You will provide technical mentorship while aligning strategy with product, engineering, and Cloud regional leadership, empowering the team to resolve production‑level obstacles and data readiness challenges to achieve

Qualifications

• Bachelor's degree in STEM or equivalent practical experience.
• 8 years in cloud computing or a technical customer-facing role.
• 2 years leading a software engineering or technical customer-facing team in cloud environments.
• Experience developing AI/generative AI solutions with multi-agent workflows and RAG systems.
• Experience in people management and leading technical teams.

Responsibilities

• Lead prototype standards, architectural best practices, and benchmarks across the team.
• Partner with sales and tech leadership to define requirements for high‑value opportunities and deploy experts to accounts.
• Lead technical hiring for field deployed architects and evaluate AI/ML capabilities.
• Identify gaps in emerging tools (MCP, tool‑calling) and maintain SME in evolving AI stack.
• Collaborate with Product and Architect teams to resolve blockers and build roadmaps with internal tools.

Skills

Cloud computing experience

Technical customer-facing

People management

AI / Generative AI solutions

RAG systems design

Education

Bachelor's degree in STEM

Master’s degree preferred

Tools

MLOps

Tool‑calling protocols

Agentic systems design

Job description

Note

By applying to this position you will have an opportunity to share your preferred working location from the following: Shanghai, China; Beijing, China; Singapore.

Minimum qualifications

• Bachelor's degree in a STEM field (e.g., Computer Science, Mathematics, or Statistics) 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, FDA or a similar technical customer-facing team in a cloud computing environment.
• Experience developing AI/generative AI solutions utilizing AI tools and designing multi-agent workflows and Retrieval Augmented Generation (RAG) systems.
• Experience in people management, including leading technical teams.

Preferred qualifications

• Master’s degree in Computer Science, or a related technical field.
• Experience in architecting AI solutions within complex infrastructures, ensuring data sovereignty and secure governance.
• Experience in performing deep discovery interviews to find the true business problem and translate complex hardware/AI constraints for C-suites and deep-technical teams.
• 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 (ReAct, self-reflection etc.), state management, and tool‑calling protocols.

About the job

As the Manager of the Generative AI Forward Deployed Architect (FDA) team, you will lead architects across the Great China region. 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.

You will provide technical mentorship to the team while balancing high‑level strategic alignment with product, engineering, and the company Cloud regional sales leadership. You will focus on empowering and unblocking your team as they resolve production‑level obstacles, including data readiness issues, integration complexities, and other challenges that hinder AI from achieving enterprise‑grade maturity.

Responsibilities

• Serve as the ultimate technical lead, establishing prototype 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 field deployed architect, evaluating AI/ML expertise, systems engineering, and coding skills to build forward deployed architects.
• Identify skill gaps in emerging tools (MCP, tool‑calling), ensuring the team maintains subject matter expertise in an evolving AI stack.
• Collaborate with the Product and Architect team to resolve blockers and translate field insights into roadmaps while building internal tools to drive organizational efficiency.

Equal Employment Opportunity Statement

The company is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.