Top 355 Google technical architect Jobs

Field Solutions Architect III, Generative AI, Google Public Sector
Google —Sunnyvale, CA
- $183,000 - $266,000 a year
- Full-time
- Computer Science
- System design
- Java
- Paid holidays
- Disability insurance
Principal Architect, AI and Semiconductors, Google Cloud
Google —California
- $192,000 - $267,000 a year
- Full-time
- Hybrid work
- Computer science
- Computer Science
- Office
9d
Technical Curriculum Developer II, Distributed Cloud, Google Cloud
Google —Chicago, IL
- $141,000 - $206,000 a year
- Full-time
- 5 years
- Bachelor's degree
- JavaScript
9d
Technical Curriculum Developer II, Infrastructure, Google Cloud
Google —Atlanta, GA
- $141,000 - $206,000 a year
- Full-time
- DevOps
- Mid-level
- Office
8d
Principal Architect, SLED, State of New York, Google Public Sector
Google —New York, NY
- $152,000 - $222,000 a year
- Full-time
- Hybrid work
- Computer science
- Computer Science
- Presentation skills
Customer Engineer III, Applied AI, Google Cloud
Google —Mountain View, CA
- $174,000 - $253,000 a year
- Full-time
- Computer science
- Computer Science
- Office
- Paid holidays
- Disability insurance
Global Practice Architect, Security, Google Cloud
Google —Boulder, CO
- $174,000 - $253,000 a year
- Full-time
- Office
- Bachelor's degree
- Experience equivalent to degree accepted
Principal Strategic Application Security Consultant, Mandiant, Google Cloud
Google —Remote
- $168,000 - $244,000 a year
- Full-time
- Hybrid work
- Computer Science
- Java
- Bachelor's degree
Principal Architect, Higher Education, Google Public Sector
Google —Mountain View, CA
- $152,000 - $222,000 a year
- Full-time
- Computer science
- Computer Science
- Office
5d
Imaging and Camera Module Architect
Google —Mountain View, CA
- $159,000 - $231,000 a year
- Full-time
- Computer Science
- Master's degree
- Doctor of Philosophy
Staff Interaction Designer, Labs
Google —Mountain View, CA
- $188,000 - $275,000 a year
- Full-time
- 8 years
- Bachelor's degree
- Product management
Platform Customer Engineer, Greenfield, Google Cloud
Google —New York, NY
- $127,000 - $185,000 a year
- Full-time
- 6 years
- System design
- Office
Technical Program Manager II, Logistics Network Capacity Planning, Google Cloud
Google —Atlanta, GA
- $138,000 - $198,000 a year
- Full-time
- Mid-level
- SQL
- Presentation skills
Staff Software Engineer, Full Stack, Google One
Google —Mountain View, CA
- $207,000 - $301,000 a year
- Full-time
- Computer Science
- Engineering
- System design
Workspace Customer Engineer II, Platform, New Business, Google Cloud
Google —New York, NY
- $127,000 - $185,000 a year
- Full-time
- Google Workspace
- Computer science
- Computer Science
Practice Customer Engineer, Applied AI, Google Public Sector
Google —Sunnyvale, CA
- $152,000 - $222,000 a year
- Full-time
- Java
- C++
- Presentation skills
- Paid holidays
- Disability insurance
8d
Customer Engineer, Federal Security, Google Public Sector
Google —Reston, VA
- $152,000 - $222,000 a year
- Full-time
- Computer Science
- Presentation skills
- Bachelor's degree
Forward Deployed Engineer V, Generative AI, Google Cloud
Google —San Francisco, CA
- $262,000 - $365,000 a year
- Full-time
- Computer science
- Computer Science
- Engineering
Staff Software Engineer, AI/ML, Google Distributed Cloud, Storage
Google —Kirkland, WA
- $207,000 - $301,000 a year
- Full-time
- Computer Science
- Engineering
- System design
- Paid holidays
- Disability insurance
Wireless Systems Technology Architect
Google —Mountain View, CA
- $236,000 - $330,000 a year
- Full-time
- 5 years
- Office
- Doctor of Philosophy

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Field Solutions Architect III, Generative AI, Google Public Sector

Google -
Sunnyvale, CA

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Job Details

Full-time
$183,000 - $266,000 a year

Benefits

Paid holidays
Disability insurance
Health insurance
Dental insurance
Paid time off
Parental leave
Vision insurance
401(k) matching

Qualifications

AI models
Machine intelligence

Full Job Description

Must be a US Citizen to meet customer and compliance requirements, including potential access to classified information.

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 (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
Baby Bonding Leave: 18 weeks
Holidays: 13 paid days per year

The application window will be open until at least July 12, 2026. This opportunity will remain online based on business needs which may be before or after the specified date.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Reston, VA, USA; Washington D.C., DC, USA; New York, NY, USA; Atlanta, GA, USA; Austin, TX, USA; Boulder, CO, USA; Sunnyvale, CA, USA.

Minimum qualifications:

Bachelor's degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience.
8 years of experience in Python or other programming languages in machine learning (e.g., Java, C++, Go).
Experience in applied AI, with a focus on designing and evaluating systems around foundation models (e.g., prompt engineering, fine-tuning, RAG, orchestrating model interactions with external tools to deliver solutions).
Experience architecting, deploying, or managing solutions on a cloud platform.
Active, or the ability to obtain, Top Secret/SCI security clearance.

Preferred qualifications:

Master's degree in Computer Science, Engineering, or a related technical field.
Experience with distributed training and optimizing performance versus costs.
Experience supporting or selling to U.S. federal customers.
Experience in system design with the ability to architect and explain data pipelines, ML pipelines, and ML training and serving approaches.
Experience training and fine tuning models in environments (e.g., image, language, recommendation) with accelerators.
Ability to demonstrate a bias for action and apply product insights to solve immediate customer issues and unlock long-term value.

About the job

As a Field Solutions Architect, you will support the Rapid Innovation team in Google Public Sector. You will construct rapid prototype generative AI applications tailored to public sector customers.

You will leverage generative AI technologies to develop innovative solutions and validate their efficacy. You will swiftly showcase the latest generative AI capabilities through direct collaboration with customers.

In this role, you will closely collaborate with our Product team to eliminate obstacles and shape the future trajectory of our offerings. In addition, you will disseminate the lessons learned to customers and internal Google teams.

Google Public Sector brings the magic of Google to the mission of government and education with solutions purpose-built for enterprises. We focus on helping United States public sector institutions accelerate their digital transformations, and we continue to make significant investments and grow our team to meet the complex needs of local, state and federal government and educational institutions.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $183000 - $266000 (USD) + 20% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

Be a trusted advisor to customers by understanding their business process and objectives. Design and build end-to-end genAI-driven solutions spanning AI, data, and infrastructure.
Demonstrate how Google Cloud is differentiated by working with customers on application prototypes; demonstrating generative AI features; prompting and tuning models; and optimizing model performance, profiling, and benchmarking. Troubleshoot and find solutions to issues in generative AI applications.
Build repeatable technical assets such as scripts, templates, reference architectures, etc. to enable customers and internal teams. Work with peers to include the full cloud stack into overall architecture.
Work cross-functionally to influence Google Cloud strategy and product direction at the intersection of infrastructure and AI/ML by advocating for enterprise customer requirements.
Coordinate regional field enablement with leadership and work closely with product and partner organizations on external enablement. Travel as needed.

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.

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Refine Your Search

google technical architect jobs

Field Solutions Architect III, Generative AI, Google Public Sector

Principal Architect, AI and Semiconductors, Google Cloud

Technical Curriculum Developer II, Distributed Cloud, Google Cloud

Technical Curriculum Developer II, Infrastructure, Google Cloud

Principal Architect, SLED, State of New York, Google Public Sector

Customer Engineer III, Applied AI, Google Cloud

Global Practice Architect, Security, Google Cloud

Principal Strategic Application Security Consultant, Mandiant, Google Cloud

Principal Architect, Higher Education, Google Public Sector

Imaging and Camera Module Architect

Staff Interaction Designer, Labs

Platform Customer Engineer, Greenfield, Google Cloud

Technical Program Manager II, Logistics Network Capacity Planning, Google Cloud

Staff Software Engineer, Full Stack, Google One

Workspace Customer Engineer II, Platform, New Business, Google Cloud

Practice Customer Engineer, Applied AI, Google Public Sector

Customer Engineer, Federal Security, Google Public Sector

Forward Deployed Engineer V, Generative AI, Google Cloud

Staff Software Engineer, AI/ML, Google Distributed Cloud, Storage

Wireless Systems Technology Architect

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