Senior Software Engineer, Google Cloud, Agent Building

Senior Software Engineer, Google Cloud, Agent Building

Location: London, UK

Required Qualifications

• Bachelor’s degree or equivalent practical experience.
• 5 years of experience testing, launching software products, and 3 years experience with software design and architecture.
• 5+ years of experience with Speech/audio, reinforcement learning, ML infrastructure, or specialization in another ML field.
• 5+ years of experience with ML design and ML infrastructure (model deployment, evaluation, data processing, debugging, fine tuning).

Preferred Qualifications

• Master’s degree or PhD in Engineering, Computer Science, or related field.
• 5 years experience with data structures and algorithms.
• 3 years experience working in a complex, matrixed organization on cross‑functional projects.

About the role

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large‑scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a forward deployed developer (FDE), you will be at the forefront of applying Google's Generative AI to solve real‑world issues for customers. You will act as a specialized software engineer embedded with key accounts, working to build, deploy, and optimize sophisticated AI agents on our Customer Engagement Suite (CES) platform. You will bridge the gap between our core product development teams and customer needs, directly accelerating customer success and shaping the future of our AI products.

Responsibilities

• Partner directly with customers to understand their business issues. Design, co‑develop, debug, and deploy custom conversational AI agents and solutions to accelerate their time to value.
• Systematize learnings from customer engagements by creating reusable tools, building documentation and accelerators, and establishing best practices across the organization.
• Act as a high‑level problem solver, empowered to write bespoke code, develop custom tooling, and contribute directly to the core product codebase to resolve critical customer issues.
• Lead the design and implementation of solutions in specialized ML areas, optimize ML infrastructure, and guide the development of model optimization and data processing strategies.

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.

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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