Field Solutions Architect III, Generative AI, Google Cloud

Google • Sunnyvale, CA

1d • $177,000 - $263,000

About The Position

As a Field Solutions Architect, you will play a pivotal role in the Google Cloud AI Go-To-Market organization. You will be focused on frontier AI, including Generative AI (GenAI), in a highly-technical customer-facing role. You will bridge the gap between our AI products and the customer's real-world business problems. Unlike a traditional sales engineer, you will own the end-to-end technical delivery, from understanding a client's needs to architecting, building, and deploying solutions directly for or on the customer's infrastructure. This role requires a blend of deep technical skill, strategic problem-solving, and communication with significant customer collaboration and travel often required. Your primary responsibility will be to construct rapid prototype Generative AI applications tailored to Google Cloud customers, catering to an unique clientele ranging from early stage startups to prominent, established companies. You will be a hybrid professional, blending the core competencies of an engineer with an aptitude for customer engagement and strategic problem-solving. This will often require you to lead with deep, bespoke implementation as the primary value proposition, ensuring that our core technology delivers demonstrable value in the customer's unique operational context. In this role, you will have close collaboration with our product and engineering teams to eliminate obstacles and shape the future trajectory of our offerings. You will be adept at disseminating lessons learned to customers and internal Google teams, translating one-off customer solutions into reusable, scalable assets. 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 Science, Technology, Engineering, Mathematics, or equivalent practical experience.
• 8 years of experience in Python or other programming language(s) common in machine learning (e.g., Java, C++, Go).
• Experience in applied AI, with a focus on designing and evaluating systems around foundation models, including prompt engineering, fine-tuning, retrieval-augmented generation (RAG), and orchestrating model interactions with external tools to deliver complete solutions.
• Experience designing and implementing autonomous agents and multi-agent systems to automate multi-step business workflows.
• Experience architecting, deploying, or managing solutions on a Cloud Platform (e.g. Google Cloud Platform).

Nice To Haves

• Master's degree in Computer Science, Engineering, or a related technical field.
• Software engineering management or project/program management experience.
• Experience training and fine-tuning models in large-scale environments with accelerators, with experience deploying production-grade AI agents that manage tool-use (i.e. function calling) and complex state management.
• Experience in systems design with the ability to architect data and ML pipelines, including advanced agentic patterns (e.g., Plan-and-Execute, multi-agent collaboration, and self-reflection loops).
• Ability to take initiative and apply strategic product insights to solve immediate customer challenges and unlock long-term value.

Responsibilities

• Be a trusted advisor by understanding customer business processes and objectives.
• Design and build end-to-end Generative AI solutions and multi-agent orchestrations, across AI, Data, and Infrastructure.
• Work with peers to integrate the full cloud stack.
• Rapidly build production-grade prototypes delivering measurable outcomes.
• Write custom code for autonomous agentic workflows, integrate data sources, design ontologies, and deploy solutions directly on customer infrastructure.
• Act as an advocate for the customer, gathering real-time feedback and insights.
• Formalize field-tested solutions into reusable modules or core features to drive innovation.
• Establish technical and business cases to support your recommendations.
• Influence Google Cloud strategy and product direction by advocating for enterprise customer requirements, specifically around agentic reliability and reasoning accuracy.
• Coordinate regional field enablement with leadership and collaborate with product and partner organizations on external enablement.
• Travel as needed.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees