GTM Applied AI Architect, Google Cloud

About the Role: GTM Applied AI Architect, Google Cloud

The Google Cloud Platform team helps customers transform and build what's next for their business — all with technology built in the cloud. As an AI Architect on the Go-To-Market (GTM) Applied AI team, you will be at the nexus of innovation and execution, building intelligent systems to power Google Cloud's commercial engine. You will partner with GTM teams to understand challenges, then design, prototype, and ship novel AI-powered solutions that generate business value.

This role is for a direct builder who thrives on moving quickly from concept to reality, operating like a founder by taking ownership from 0 to 1. Your work will directly shape how sales and operations teams leverage AI, freeing them to focus on serving customers.

Responsibilities

• Design, build, and iterate on AI prototypes, applications, and tools using Google's AI stack to accelerate Google Cloud’s GTM efforts.
• Embed with Sales, Operations, and Strategy teams to identify use cases, understand their workflows, and build solutions addressing 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.

Minimum Qualifications

• 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.

Preferred Qualifications

• 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.

About Google Cloud

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.

Key skills/competency

• AI/ML Application Development
• Google Cloud Platform (GCP)
• Large Language Models (LLM)
• Python and SQL
• Prompt Engineering/RAG
• Agentic AI
• Solution Architecture
• Go-To-Market Strategy
• ROI Measurement
• Cross-functional Collaboration