Field Solutions Architect Manager, Applied AI, Google Cloud

Qualifications

• Bachelor’s degree in Computer Science or equivalent practical experience in Software Engineering, Site Reliability Engineering, or Development and Operations
• 8 years of experience in cloud computing and technical customer-facing roles, and Python
• 5 years of experience in a technical consulting, systems architecture, or sales engineering role, including experience presenting technical roadmaps to C-suite executives
• Experience developing and deploying agentic solutions utilizing tools, multi-agent workflows and scalable RAG systems
• Experience managing end-to-end technical project lifecycles and resource allocation for enterprise-level global clients

Benefits

• Health, dental, vision, life, disability insurance
• Retirement Benefits: 401(k) with company match
• Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
• Sick Time: 40 hours/year (statutory, where applicable); 5 days/event (discretionary)
• Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
• Baby Bonding Leave: 18 weeks
• Holidays: 13 paid days per year
• The US base salary range for this full-time position is $177,000-$263,000 + bonus + equity + benefits
• Our salary ranges are determined by role, level, and location
• Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training
• Your recruiter can share more about the specific salary range for your preferred location during the hiring process

Responsibilities

• You are responsible for a team that doesn't just consult, but codes, debug and jointly deploys bespoke agentic solutions directly within customer environments
• In this role, you will provide 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 tests that hinder AI from achieving enterprise-grade maturity
• 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 Technical Leadership to define requirements for high-value opportunities, deploying specialized experts (e.g., agentic systems in customer experience) to key accounts
• Lead technical hiring for Applied AI Field Solutions Architects, evaluating AI Agent expertise, systems engineering, and coding skills to build a engineering squad
• Identify skill gaps in emerging technologies (e.g., 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 while building internal tools to drive organizational efficiency

Full Description

The application window will be open until at least February 4, 2026.

This opportunity will remain online based on business needs which may be before or after the specified date.

This role may also be located in our Playa Vista, CA campus.

"Applicants in the County of Los Angeles: Qualified applications with arrest or conviction records will be considered for employment in accordance with the LosAngeles County Fair Chance Ordinance for Employers and the California Fair Chance Act."

Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.

In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees.

Benefits for this role include:

• Health, dental, vision, life, disability insurance

• Retirement Benefits: 401(k) with company match

• Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment

• Sick Time: 40 hours/year (statutory, where applicable); 5 days/event (discretionary)

• Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks

• Baby Bonding Leave: 18 weeks

• Holidays: 13 paid days per year

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: New York, NY, USA; Atlanta, GA, USA; Austin, TX, USA; Boulder, CO, USA; Chicago, IL, USA; Addison, TX, USA; Kirkland, WA, USA; Miami, FL, USA; Mountain View, CA, USA; Los Angeles, CA, USA; Reston, VA, USA; Seattle, WA, USA; San Francisco, CA, USA; Washington D.C., DC, USA.

Minimum qualifications:

• Bachelor’s degree in Computer Science or equivalent practical experience in Software Engineering, Site Reliability Engineering, or Development and Operations.

• 8 years of experience in cloud computing and technical customer-facing roles, and Python.

• 5 years of experience in a technical consulting, systems architecture, or sales engineering role, including experience presenting technical roadmaps to C-suite executives.

• Experience developing and deploying agentic solutions utilizing tools, multi-agent workflows and scalable RAG systems.

• Experience managing end-to-end technical project lifecycles and resource allocation for enterprise-level global clients.

Preferred qualifications:

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

• 2 years of experience in pre-sales management.

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

• Experience 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 design patterns (e.g., ReAct, self-reflection,etc), state management, and tool-calling protocols.

About the job

As the Manager of the Applied AI Field Solutions Architect (FSA) team, you will lead a squad of AI/ML engineers across North America 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, debug and jointly deploys bespoke agentic solutions directly within customer environments.

In this role, you will provide 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 tests that hinder AI from achieving enterprise-grade maturity.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry.

We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably.

Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

The US base salary range for this full-time position is $177,000-$263,000 + bonus + equity + benefits.

Our salary ranges are determined by role, level, and location.

Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.

Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits.

Learn more about benefits at Google.

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 Technical Leadership to define requirements for high-value opportunities, deploying specialized experts (e.g., agentic systems in customer experience) to key accounts.

• Lead technical hiring for Applied AI Field Solutions Architects, evaluating AI Agent expertise, systems engineering, and coding skills to build a engineering squad.

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

Google 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.

See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.