Blackbelt Engineer, Gemini Cloud Assist
Google
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Sunnyvale, CA
0
0
0
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Not Applicable
Posted March 13, 2026
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Responsibilities
Commitments
Responsibilities
- Architect customer projects, designing complex integrations with Gemini and Vertex AI to build high-value solutions like agentic workflows and semantic data layers.
- Resolve ambiguous technical hurdles and optimize latency.
- Bridge disparate systems, architecting security and governance layers that transform experimental demos into production-ready assets.
- Transform bespoke solutions into reusable assets.
- Be author of golden path repositories and reference architectures, enabling partner and customer engineering ecosystems to scale your work globally.
- Serve as the technical source of truth.
- Document API friction and product gaps discovered during deployment directly influence roadmaps for Gemini Cloud Assist and Cloud hub.
- Mentor engineers while advising customers.
- Establish coding standards and validate feasibility to align our architectures with complex enterprise stacks.
Commitments
We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
Not Met Priorities
What still needs stronger evidence
Requirements
- 7 years of experience project managing and delivering technical solutions.
- Experience in one or more areas such as machine learning, recommendation systems, natural language processing, pattern recognition, or artificial intelligence.
- Experience with technical client service (e.g., consulting).
Preferred Skills
- Experience in systems design with ability to architect and explain data analytics pipelines and data flows.
- Experience in a statistical programming language like R or Python and applied machine learning techniques (e.g., dimensionality reduction strategies, classification, and natural language processing frameworks).
- Experience designing and deploying with one or more from the following technologies: TensorFlow, Spark ML, Torch, Caffe, Scikit-learn.
- Excellent written and verbal communication, presentation and problem-solving skills.
Education
- (Not required) – Bachelor's degree or equivalent practical experience.
Minimum qualifications:
Bachelor's degree or equivalent practical experience.
7 years of experience project managing and delivering technical solutions.
Experience in one or more areas such as machine learning, recommendation systems, natural language processing, pattern recognition, or artificial intelligence.
Experience with technical client service (e.g., consulting).
Preferred qualifications:
Experience in systems design with ability to architect and explain data analytics pipelines and data flows.
Experience in a statistical programming language like R or Python and applied machine learning techniques (e.g., dimensionality reduction strategies, classification, and natural language processing frameworks).
Experience designing and deploying with one or more from the following technologies: TensorFlow, Spark ML, Torch, Caffe, Scikit-learn.
Excellent written and verbal communication, presentation and problem-solving skills.
About The Job
The Google Cloud Consulting Professional Services team guides customers through the moments that matter most in their cloud journey to help businesses thrive. We help customers transform and evolve their business through the use of Google’s global network, web-scale data centers, and software infrastructure. As part of an innovative team in this rapidly growing business, you will help shape the future of businesses of all sizes and use technology to connect with customers, employees, and partners.
The AI Strategic Pursuits team is a specialized product incubation engine dedicated to accelerating product market fit for our Generative AI capabilities in Google Cloud. Tasked with bridging the gap between our powerful platform primitives and the cohesive, high-value solutions enterprises demand, this group operates as a customer-zero laboratory. Composed of expert builders and strategic product leaders, the team focuses on solving the complex integration and last-mile challenges that define the next generation of enterprise data architectures, directly de-risking the roadmap for the broader organization. The team embeds deeply with a select group of lighthouse customers to co-develop breakthrough solutions in real-world environments. Rather than stopping at individual customer success, the team’s primary mandate is to translate these engagements into scalable assets delivering validated product prototypes to engineering and repeatable go-to-market blueprints to the field.
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 $183,000-$265,000 + 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
Architect customer projects, designing complex integrations with Gemini and Vertex AI to build high-value solutions like agentic workflows and semantic data layers.
Resolve ambiguous technical hurdles and optimize latency. Bridge disparate systems, architecting security and governance layers that transform experimental demos into production-ready assets.
Transform bespoke solutions into reusable assets. Be author of golden path repositories and reference architectures, enabling partner and customer engineering ecosystems to scale your work globally.
Serve as the technical source of truth. Document API friction and product gaps discovered during deployment directly influence roadmaps for Gemini Cloud Assist and Cloud hub.
Mentor engineers while advising customers. Establish coding standards and validate feasibility to align our architectures with complex enterprise stacks.
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 .
Bachelor's degree or equivalent practical experience.
7 years of experience project managing and delivering technical solutions.
Experience in one or more areas such as machine learning, recommendation systems, natural language processing, pattern recognition, or artificial intelligence.
Experience with technical client service (e.g., consulting).
Preferred qualifications:
Experience in systems design with ability to architect and explain data analytics pipelines and data flows.
Experience in a statistical programming language like R or Python and applied machine learning techniques (e.g., dimensionality reduction strategies, classification, and natural language processing frameworks).
Experience designing and deploying with one or more from the following technologies: TensorFlow, Spark ML, Torch, Caffe, Scikit-learn.
Excellent written and verbal communication, presentation and problem-solving skills.
About The Job
The Google Cloud Consulting Professional Services team guides customers through the moments that matter most in their cloud journey to help businesses thrive. We help customers transform and evolve their business through the use of Google’s global network, web-scale data centers, and software infrastructure. As part of an innovative team in this rapidly growing business, you will help shape the future of businesses of all sizes and use technology to connect with customers, employees, and partners.
The AI Strategic Pursuits team is a specialized product incubation engine dedicated to accelerating product market fit for our Generative AI capabilities in Google Cloud. Tasked with bridging the gap between our powerful platform primitives and the cohesive, high-value solutions enterprises demand, this group operates as a customer-zero laboratory. Composed of expert builders and strategic product leaders, the team focuses on solving the complex integration and last-mile challenges that define the next generation of enterprise data architectures, directly de-risking the roadmap for the broader organization. The team embeds deeply with a select group of lighthouse customers to co-develop breakthrough solutions in real-world environments. Rather than stopping at individual customer success, the team’s primary mandate is to translate these engagements into scalable assets delivering validated product prototypes to engineering and repeatable go-to-market blueprints to the field.
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 $183,000-$265,000 + 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
Architect customer projects, designing complex integrations with Gemini and Vertex AI to build high-value solutions like agentic workflows and semantic data layers.
Resolve ambiguous technical hurdles and optimize latency. Bridge disparate systems, architecting security and governance layers that transform experimental demos into production-ready assets.
Transform bespoke solutions into reusable assets. Be author of golden path repositories and reference architectures, enabling partner and customer engineering ecosystems to scale your work globally.
Serve as the technical source of truth. Document API friction and product gaps discovered during deployment directly influence roadmaps for Gemini Cloud Assist and Cloud hub.
Mentor engineers while advising customers. Establish coding standards and validate feasibility to align our architectures with complex enterprise stacks.
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 .