GTM Applied AI Architect, Google Cloud

Google•Austin, TX

About The Position

The Google Cloud Platform team helps customers transform and build what's next for their business — all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers — developers, small and large businesses, educational institutions and government agencies — see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners. As an AI Architect on the Go-To-Market (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 most pressing challenges, then design, prototype, and ship novel AI-powered solutions that generate business value. This role is for the direct builder who grows on moving quickly from concept to reality. You will operate like a founder, taking ownership of projects from 0 to 1 and translating business needs into applications. Your work will directly shape how the sales and operations teams leverage AI, freeing them to focus on what they do best: serving the customers. 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.

Requirements

Bachelor's degree in Computer Science, Engineering, a related technical field, or equivalent practical experience.
5 years of experience as a software engineer, machine learning engineer, solutions or customer engineer working on user-facing systems.
Experience in building and shipping AI/ML applications or prototypes.
Experience with Python and SQL.

Nice To Haves

Master's degree or PhD in Computer Science, Artificial Intelligence, or a related field.
Experience building or prototyping Large Language Model (LLM)-powered applications and workflows using techniques like prompt engineering, retrieval-augmented generation (RAG), vector embeddings, and function calling.
Experience with agentic AI principles and experience building AI agents including emerging frameworks like Agent Development Kit (ADK), A2A, MCP, etc.
Knowledge of building applications on Google Cloud Platform (GCP), with Vertex AI (including Gemini models).
Ability to articulate technical concepts to both technical and non-technical stakeholders.
Excellent communication skills.

Responsibilities

Design, build, and iterate on 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 use cases, understand their workflows, and build solutions that address their needs.
Develop and deploy solutions for key focus areas, including the AI-powered demand generation platform, contributing directly to pipeline goals and operational efficiency.
Partner with other engineering and operations teams to evolve prototypes into enterprise-ready solutions integrated into core GTM workflows.
Develop frameworks to measure the Return on investment (ROI) of Artificial Intelligence (AI) solutions, quantifying their impact on pipeline, productivity, and other key business metrics to inform future development.