job description
Are you ready to shape the future of enterprise technology? Google Cloud is seeking a highly skilled Practice Customer Engineer III to join our elite AI revolution team in Singapore. In this pivotal role, you will act as a trusted technical advisor, bridging the gap between cutting-edge Artificial Intelligence capabilities and real-world business outcomes.
You will work at the intersection of innovation and execution, partnering with C-suite executives and technical architects to design, prototype, and implement advanced cloud-native AI/ML solutions. We are looking for a visionary technologist who is passionate about helping organizations navigate the complexities of generative AI, large language models, and scalable data architectures. As a Practice Customer Engineer, you won't just support our productsâyou will define how our customers leverage the next generation of cloud computing to transform their industries.
At Google, we foster a culture of inclusivity and relentless innovation. You will collaborate with global engineering teams, product managers, and a diverse group of passionate colleagues to solve the most complex technical challenges. If you thrive in high-impact environments and want to lead the AI transformation in the APAC region, we invite you to apply.
Responsibility
- Architect and deliver end-to-end AI/ML solutions tailored to customer business needs using Google Cloud's AI platform.
- Provide technical thought leadership to enterprise clients, guiding them through cloud adoption and modernization strategies.
- Lead complex proof-of-concept (PoC) engagements and technical workshops to demonstrate the value of Google Cloud AI.
- Collaborate cross-functionally with Sales, Product, and Engineering teams to influence the product roadmap based on customer requirements.
- Support the scaling of AI/ML practices by creating technical assets, whitepapers, and best practice documentation.
- Manage technical relationships with key stakeholders, ensuring successful implementation and long-term customer satisfaction.
- Stay at the forefront of the evolving AI landscape, acting as an internal subject matter expert on emerging LLM technologies and frameworks.
Qualifications
- Bachelorâs degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
- 5+ years of experience in customer-facing roles, such as Solution Architecture, Consulting, or Systems Engineering.
- Deep expertise in AI/ML workflows, including Model Training, Deployment, and MLOps principles.
- Proven track record of designing scalable, secure, and resilient cloud architectures on GCP, AWS, or Azure.
- Proficiency in programming languages such as Python, Java, or Go.
- Strong understanding of modern data stack technologies, including BigQuery, Dataflow, and Vertex AI.
- Excellent communication and presentation skills, with the ability to explain complex technical concepts to both technical and non-technical audiences.
- Experience in leading large-scale enterprise digital transformation projects.