AI Architect III, Go-To-Market Applied AI, Google Cloud
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Please submit your resume in English - we can only consider applications submitted in this language.
Only applications of candidates with Mexican citizenship will be evaluated for this role in compliance with the provisions of Article 7 of the Federal Labor Law.
Minimum qualifications:
- Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.
- 9 years of experience in software engineering or technical architecture.
- Experience architecting and leading the development of scalable systems powered by Generative AI.
- Experience in designing and applying Generative AI architectures and techniques.
- Experience in Python, SQL, and system design for AI/ML applications.
Preferred qualifications:
- Master's degree or PhD in Computer Science, Artificial Intelligence, or a related field.
- Experience with leadership in agentic AI principles and ability to architect and build AI agents that solve complex, multi-step business problems.
- Experience influencing executive-level technical and business stakeholders, with excellent communication and leadership skills.
- Knowledge of Google Cloud Platform (GCP) and Vertex AI, with experience influencing cloud architecture best practices.
- Familiarity with agentic AI principles and emerging frameworks like Agent Development Kit (ADK), A2A, MCP, etc.
- Understanding of Business-to-Business Go-To-Market, Sales, and Business Operations.
About the job
The Cloud GTM Applied AI team is the internal AI innovation factory driving transformation within Google Cloud's Go-To-Market (GTM) organization. We are pioneering a new era of intelligent business operations by rapidly incubating, developing, and scaling AI solutions that redefine how our teams work and promote.
Our mission bridges technology with practical business impact. We deploy advanced AI technologies, including agentic AI, machine learning, and integrated third-party data to solve complex GTM challenges. By transforming manual processes and creating intelligent systems, we contribute to pipeline value and unlock unprecedented operational efficiency.
As an AI Architect on the GTM Applied AI team, you will be building the intelligent systems that will power the future of Google Cloud's commercial engine. You will partner closely with GTM teams to understand their challenges, then design, prototype, and ship novel AI-powered solutions that generate measurable business value.
You will operate like a founder, taking ownership of projects translating complex business needs into tangible, high-impact applications. Your work will shape how our sales and operations teams leverage AI.
Applied AI builds conversational agents deployed at a large scale that achieve very meaningful results in the real world. Some examples include the customer agent built for large call center environments, to fast food ordering handled by our Food AI agent. The team is transforming how enterprises connect with customers through the power of AI. We also offer unique experiences for team members where you get to work directly with the model builders (Google DeepMind / Vertex), learn and work with brilliant AI leaders, and have access to Global 1000 customers via our existing Google Cloud relationships. The opportunity in this space is tremendous.
[For US Applicants]
The US base salary range for this full-time position is $180,000-$267,000 + 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
- Design, build, and rapidly iterate on high-impact AI prototypes, applications, and tools using Google's AI stack that accelerate Google Cloud’s GTM efforts. Embed with Sales, Operations, and Strategy teams to identify high-value use cases, understand their workflows, and build solutions that address their needs.
- Develop and deploy solutions for key focus areas, including our AI-powered demand generation platform, contributing to pipeline goals and operational efficiency.
- Partner with other engineering and operations teams to evolve prototypes into robust, scalable, and enterprise-ready solutions integrated into core GTM workflows.
- Develop frameworks to measure the Return on Investment (ROI) of AI solutions, quantifying their impact on pipeline, productivity, and key business metrics to inform future development.
- Apply techniques in agentic AI and leverage Google's latest models and platforms to solve customer and internal workflow problems.
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Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.
If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
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