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.
As an AI Adoption Customer Engineer (CE) you will embed with strategic customers to drive the adoption of Google Cloud enterprise AI products, acting as a trusted advisor to customer stakeholders, partners, and internal product and engineering teams. You will develop, manage, and execute the AI deployment plan, by providing technical leadership, applying skills in enterprise architecture, consultative delivery, applied artificial intelligence engineering, and AI solution engineering. You will have a direct impact on the velocity of customer adoption and business outcomes realized through the successful deployment of enterprise AI solutions and use cases.
You will blend delivery expertise, market and industry knowledge, technical implementation, and technical project leadership to realize the value of Google Cloud AI with strategic 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.
Responsibilities
- Develop and orchestrate a structured deployment plan across customer, professional services, and partner teams, onboarding the implementation team, clearing blockers, managing timelines and progress, and ensuring readiness.
- Employ code development, debugging, or systems design to resolve technical blockers and accelerate customer time-to-value.
- Drive and track progress of the initial and ongoing adoption of enterprise AI, accelerating customers from initial agreement to business outcomes as quickly as possible.
- Identify and develop opportunities for new enterprise AI use cases during project execution.
- Drive sustainable product usage to help customers realize ongoing business value.
Qualifications
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 10 years of experience with cloud native enterprise architecture in a customer-facing or support role.
- Experience engaging with, and presenting to, technical stakeholders and executive leaders.
- Experience developing AI/Generative AI (GenAI) solutions utilizing AI tools and designing multi-agent workflows and retrieval-augmented generation (RAG) systems.
- Experience in deployment planning, delivery orchestration, or change management.
Preferred qualifications:
- Master’s degree or PhD in AI, Computer Science, or a related technical field.
- Experience with development or implementation of AI agents in an enterprise environment.
- Experience simultaneously guiding multiple customers through the organizational change and delivery preparation to adopt new, cloud-powered business processes.
- Experience working with product and support teams and using technical proficiencies to resolve blockers and accelerate customer delivery.
- Experience architecting AI solutions within infrastructures, ensuring data sovereignty and secure governance.
- Ability to perform deep discovery interviews to find the true business problem and translate complex hardware/AI constraints for C-suites and deep-technical teams.