Google

[For US Applicants]

The application window will be open until at least June 20, 2025. This opportunity will remain online based on business needs which may be before or after the specified date.

[For Mexican Applicants]

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.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Mexico City, CDMX, Mexico; Chicago, IL, USA; Atlanta, GA, USA; Austin, TX, USA; Boulder, CO, USA; Addison, IL, USA; Miami, FL, USA.

Minimum qualifications:

• Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.
• 6 years of experience in software or machine learning engineering.
• Experience designing and shipping applications built with Generative AI models.
• Experience applying core GenAI techniques such as prompt engineering, Retrieval-Augmented Generation (RAG), or function calling.
• Experience with Python and SQL.

Preferred qualifications:

• Master's degree or PhD in Computer Science, Artificial Intelligence, or a related field.
• Experience building and scaling applications on cloud service providers (e.g., GCP) with Vertex AI.
• Experience building or prototyping multi-step AI agents (e.g., using frameworks ADK, A2A, MCP).
• Experience building products or systems from scratch.
• Understanding of Business-to-Business Go-To-Market, Sales, or Business Operations functions.
• Excellent communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.

About the Job

The Cloud Go-To-Market 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.

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 at the nexus of innovation and execution, 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 $149,000-$218,000 + 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.