Google · 5 hours ago
Field Solutions Architect Manager, Applied AI, Google Cloud
Kirkland, WA
Full-time
Onsite
Senior Level, Lead/Staff
$177K/yr - $263K/yr
8+ years expGoogle is a leading technology company, and they are seeking a Manager of the Applied AI Field Solutions Architect team. In this role, you will lead a team of AI/ML engineers to bridge the gap between AI products and production-grade solutions while providing technical mentorship and collaborating with various stakeholders to resolve production-level obstacles.
AppsArtificial Intelligence (AI)Cloud StorageSearch EngineSEO
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
Qualification
Required
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
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
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
Company
Google specializes in internet-related services and products, including search, advertising, and software. It is a sub-organization of Alphabet.
10001+ employees
H1B Sponsorship
Google has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (8763)
2024 (8872)
2023 (9682)
2022 (11626)
2021 (9109)
2020 (9785)
Funding
Current Stage
Public CompanyTotal Funding
$26.1MKey Investors
Andy Bechtolsheim
2004-08-19IPO
1999-06-07Series Unknown· $25M
1998-11-01Angel· $1M
Leadership Team
Sundar Pichai
CEO
Thomas Kurian
CEO - Google Cloud
Recent News
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