Google
Global Value Solutions GenAI Architect, Google Cloud
Google, Atlanta, Georgia, United States, 30383
Global Value Solutions GenAI Architect, Google Cloud
3 days ago Be among the first 25 applicants
The application window will be open until at least October 30, 2025. 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:
Austin, TX, USA; Atlanta, GA, USA; Boulder, CO, USA; Chicago, IL, USA .
Minimum qualifications
Bachelor's degree or equivalent practical experience.
7 years of experience in programming language and web based technology (e.g., Python, SQL, JavaScript, or CSS/HTML).
Experience with Large Language Model (LLMs), agent development, prompt design, prompt engineering, RAG architectures and vector databases.
Experience with designing, developing, testing and launching AI solutions using Google Cloud.
Experience with data warehouses and developing data pipelines.
Preferred qualifications
Master's degree in Computer Science, Engineering, or a related technical field.
Experience with Continuous Integration/Continuous Deployment (CI/CD), MLOps and automation of AI deployment and evaluation.
Experience in systems design with the ability to architect and explain data pipelines, ML pipelines, and multi-agent architecture approaches.
Experience in broad base Cloud technology from infrastructure, AI, data, Application Programming Interface (API), security and collaboration technologies.
Excellent communication and presentation skills including product demos and technology overviews.
About the job As a Global Value Solutions GenAI Architect, you will be supporting the Google Cloud business organization. Your primary responsibility will be to architect and be the technical lead for the end to end deployment of production level Generative AI applications tailored to Google Cloud business teams. You will leverage the latest Generative AI technologies to design, prototype, and architect innovative tooling to enable a value-centric business cycle, and validate their efficacy. You will be tasked with swiftly showcasing the latest Generative AI capabilities through direct collaboration with business teams and GTM specialists in Google Cloud. You will be instrumental in materializing functional solutions on the Google Cloud. You will provide technical project management, consulting and technical aptitude to engagements while working with cross functional business stakeholders and key technical leaders to deploy enterprise wide solutions for Google Cloud teams. You will also work closely with key Google partners currently servicing engagements, manage programs, deliver designs, make architectural and solution decisions, and provide technical guidance and best practice expertise. You possess a background in developing AI solutions, applying key industry tools, techniques, and methodologies. You will navigate ambiguity and be a technical expert in your field, and you can deliver success. You have excellent client-facing communication and project management skills. 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
Work with technical and business leaders across global and cross-departmental teams to define solutions, manage scope, develop integrated architectures to deliver successful implementations of cloud based AI solutions.
Propose solution architectures and manage the deployment of cloud based GenAI, agentic AI, machine learning solutions following best practices.
Lead and guide the implementation of Generative AI-driven solutions, spanning AI, Data, and Infrastructure. Review code, optimize and troubleshoot applications, AI agents, prompts, ML models to improve the quality, security, resilience, maintainability and scalability of AI solutions.
Leverage Google Cloud and Google’s Generative AI tools to pioneer new methods for delivering value insights and work with peers to enable our Global Business teams to build self-service business cases and value content.
Perform initial research, develop technical spikes, code prototypes and proof of concepts.
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 .
Seniority level Not Applicable
Employment type Full-time
Job function Project Management, Consulting, and Engineering
Industries Information Services and Technology, Information and Internet
#J-18808-Ljbffr
The application window will be open until at least October 30, 2025. 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:
Austin, TX, USA; Atlanta, GA, USA; Boulder, CO, USA; Chicago, IL, USA .
Minimum qualifications
Bachelor's degree or equivalent practical experience.
7 years of experience in programming language and web based technology (e.g., Python, SQL, JavaScript, or CSS/HTML).
Experience with Large Language Model (LLMs), agent development, prompt design, prompt engineering, RAG architectures and vector databases.
Experience with designing, developing, testing and launching AI solutions using Google Cloud.
Experience with data warehouses and developing data pipelines.
Preferred qualifications
Master's degree in Computer Science, Engineering, or a related technical field.
Experience with Continuous Integration/Continuous Deployment (CI/CD), MLOps and automation of AI deployment and evaluation.
Experience in systems design with the ability to architect and explain data pipelines, ML pipelines, and multi-agent architecture approaches.
Experience in broad base Cloud technology from infrastructure, AI, data, Application Programming Interface (API), security and collaboration technologies.
Excellent communication and presentation skills including product demos and technology overviews.
About the job As a Global Value Solutions GenAI Architect, you will be supporting the Google Cloud business organization. Your primary responsibility will be to architect and be the technical lead for the end to end deployment of production level Generative AI applications tailored to Google Cloud business teams. You will leverage the latest Generative AI technologies to design, prototype, and architect innovative tooling to enable a value-centric business cycle, and validate their efficacy. You will be tasked with swiftly showcasing the latest Generative AI capabilities through direct collaboration with business teams and GTM specialists in Google Cloud. You will be instrumental in materializing functional solutions on the Google Cloud. You will provide technical project management, consulting and technical aptitude to engagements while working with cross functional business stakeholders and key technical leaders to deploy enterprise wide solutions for Google Cloud teams. You will also work closely with key Google partners currently servicing engagements, manage programs, deliver designs, make architectural and solution decisions, and provide technical guidance and best practice expertise. You possess a background in developing AI solutions, applying key industry tools, techniques, and methodologies. You will navigate ambiguity and be a technical expert in your field, and you can deliver success. You have excellent client-facing communication and project management skills. 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
Work with technical and business leaders across global and cross-departmental teams to define solutions, manage scope, develop integrated architectures to deliver successful implementations of cloud based AI solutions.
Propose solution architectures and manage the deployment of cloud based GenAI, agentic AI, machine learning solutions following best practices.
Lead and guide the implementation of Generative AI-driven solutions, spanning AI, Data, and Infrastructure. Review code, optimize and troubleshoot applications, AI agents, prompts, ML models to improve the quality, security, resilience, maintainability and scalability of AI solutions.
Leverage Google Cloud and Google’s Generative AI tools to pioneer new methods for delivering value insights and work with peers to enable our Global Business teams to build self-service business cases and value content.
Perform initial research, develop technical spikes, code prototypes and proof of concepts.
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 .
Seniority level Not Applicable
Employment type Full-time
Job function Project Management, Consulting, and Engineering
Industries Information Services and Technology, Information and Internet
#J-18808-Ljbffr