Google
Global Value Solutions GenAI Architect, Google Cloud
Google, Chicago, Illinois, United States, 60290
Global Value Solutions GenAI Architect, Google Cloud
Join to apply for the Global Value Solutions GenAI Architect, Google Cloud role at Google. The application window will be open until at least October 30, 2025, and the opportunity may remain online based on business needs. This position is open in several U.S. locations: Austin, TX; Atlanta, GA; Boulder, CO; Chicago, IL.
Minimum qualifications
Bachelor's degree or equivalent practical experience.
7 years of experience in programming languages and web‑based technology (e.g., Python, SQL, JavaScript, or CSS/HTML).
Experience with Large Language Models (LLMs), agent development, prompt design, prompt engineering, RAG architectures, and vector databases.
Experience 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‑based 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 support the Google Cloud business organization. Your primary responsibility will be to architect and serve as 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 that enables a value‑centric business cycle and validates its efficacy. You will showcase Generative AI capabilities through collaboration with business teams and GTM specialists, create functional solutions on Google Cloud, and provide technical project management, consulting, and technical aptitude to engagements. You will manage programs, deliver designs, make architectural decisions, and provide best‑practice expertise while working closely with key Google partners and cross‑functional stakeholders. Your background in developing AI solutions, applying industry tools, techniques, and methodologies, and strong client‑facing communication and project management skills will enable you to navigate ambiguity and be a technical expert in your field.
Responsibilities
Work with technical and business leaders across global and cross‑departmental teams to define solutions, manage scope, and 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, and machine learning solutions following best practices.
Lead and guide the implementation of Generative AI‑driven solutions spanning AI, data, and infrastructure, reviewing code, optimizing, troubleshooting applications, AI agents, prompts, and ML models to improve quality, security, resilience, maintainability, and scalability.
Leverage Google Cloud and Google’s Generative AI tools to pioneer new methods for delivering value insights and work with peers to enable 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, veteran status, and criminal histories, consistent with legal requirements. 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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Minimum qualifications
Bachelor's degree or equivalent practical experience.
7 years of experience in programming languages and web‑based technology (e.g., Python, SQL, JavaScript, or CSS/HTML).
Experience with Large Language Models (LLMs), agent development, prompt design, prompt engineering, RAG architectures, and vector databases.
Experience 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‑based 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 support the Google Cloud business organization. Your primary responsibility will be to architect and serve as 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 that enables a value‑centric business cycle and validates its efficacy. You will showcase Generative AI capabilities through collaboration with business teams and GTM specialists, create functional solutions on Google Cloud, and provide technical project management, consulting, and technical aptitude to engagements. You will manage programs, deliver designs, make architectural decisions, and provide best‑practice expertise while working closely with key Google partners and cross‑functional stakeholders. Your background in developing AI solutions, applying industry tools, techniques, and methodologies, and strong client‑facing communication and project management skills will enable you to navigate ambiguity and be a technical expert in your field.
Responsibilities
Work with technical and business leaders across global and cross‑departmental teams to define solutions, manage scope, and 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, and machine learning solutions following best practices.
Lead and guide the implementation of Generative AI‑driven solutions spanning AI, data, and infrastructure, reviewing code, optimizing, troubleshooting applications, AI agents, prompts, and ML models to improve quality, security, resilience, maintainability, and scalability.
Leverage Google Cloud and Google’s Generative AI tools to pioneer new methods for delivering value insights and work with peers to enable 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, veteran status, and criminal histories, consistent with legal requirements. 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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