Job Description

Minimum qualifications:

• Bachelor's degree in Computer Science, Mathematics, a related technical field, or equivalent practical experience.
• 10 years of experience with cloud native architecture in a customer-facing or support role.
• 3 years of experience with conversational AI or building/leveraging AI solutions and ML APIs (e.g., Large Language Models (LLMs), frameworks).
• Experience building or leveraging Artificial Intelligence solutions or ML APIs and developing applications utilizing AI methods or frameworks.
• Experience with development methodologies, modernizing legacy applications, and application performance profiling and tuning.

Preferred qualifications:

• Experience in coding using Java (e.g., Gradle/Maven, Spring Boot, Tomcat, Spring Data/JPA/Hibernate, JUnit, etc.), C# (e.g., NuGet, Web API, Entity, etc.), JavaScript/TypeScript (e.g., NPM, Node.js, Express, React.js, Vue.js, Prisma, etc.), or Python (e.g., pip, uv, Flask, FastAPI, Django, Pydantic, SQLalchemy, etc.).
• Experience building applications with integrated AI and agentic capabilities (e.g., Retrieval-Augmented Generation (RAG), LLMs, AI agents, and ML APIs) to automate complex workflows.
• Experience with document and image AI.
• Experience with platforms and building conversational applications.
• Passion for technology and innovation.

3 years of experience with conversational AI or building/leveraging AI solutions and ML APIs (e.g., Large Language Models (LLMs), frameworks).3 years of experience with conversational AI or building/leveraging AI solutions and ML APIs (e.g., Large Language Models (LLMs), frameworks).

About the job

When leading companies choose Google Cloud, it's a huge win for spreading the power of cloud computing globally. Once educational institutions, government agencies, and other businesses sign on to use Google Cloud products, you come in to facilitate making their work more productive, mobile, and collaborative. You listen and deliver what is most helpful for the customer. You assist fellow sales Googlers by problem-solving key technical issues for our customers. You liaise with the product marketing management and engineering teams to stay on top of industry trends and devise enhancements to Google Cloud products.

The Google Cloud UKI Platform Practice team empowers customers, from developers to government agencies, to innovate with secure, scalable cloud technology, spanning infrastructure to applications.

As a Customer Engineer, you will be crucial in understanding customer requirements and shaping how businesses connect through technology with customers, employees, and partners. You will be a trusted technical advisor, guiding customers to design, deploy, and optimize their Google Cloud environments. Your focus will be on leveraging AI agents and generative AI as a catalyst for cloud migration, while working closely with Go-to-Market, Product and engineering teams to accelerate customer adoption of AI-first solutions.

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.

Responsibilities

• Help prospective customers and partners understand the power of Google Cloud, explain technical features, help customers design architectures, and problem-solve potential roadblocks.
• Guide customers through assessments of application environments, prioritising the augmentation of business processes with AI agents and generative AI as a catalyst for cloud migration.
• Apply product management advisory and application decomposition strategies to break down monoliths into multi-service agentic systems.
• Recommend integration strategies, solution architectures, platforms, and application infrastructure required to successfully implement a complete, AI-first solution on Google Cloud.
• Share in-depth AI expertise to support the technical relationship with customers, including advocacy, bid responses, proof-of-concept work, and partnering with Google Cloud product management to prioritize features that accelerate customer adoption.