Deskripsi Pekerjaan
Are you ready to shape the future of enterprise technology? Google Cloud is seeking a highly skilled Practice Customer Engineer III, Cloud AI to join our elite team in Singapore. In this pivotal role, you will act as a trusted technical advisor, bridging the gap between cutting-edge AI innovation and complex business challenges.
As a Practice Customer Engineer, you won't just sell software; you will architect transformative AI solutions that empower our customers to thrive in the cloud era. You will engage with executive stakeholders, lead technical workshops, and work alongside world-class engineers to push the boundaries of machine learning, generative AI, and cloud-native architecture. If you are passionate about data-driven problem solving and want to lead the AI revolution at one of the world's most innovative companies, we invite you to apply.
Tanggung Jawab
- Architect and deploy sophisticated AI/ML solutions tailored to customer business needs using Google Cloud Platform.
- Lead high-impact technical engagements, from discovery workshops to architectural design and proof-of-concept delivery.
- Collaborate with product management and engineering teams to influence product roadmaps based on real-world customer insights.
- Serve as a technical subject matter expert on Generative AI, Large Language Models, and MLOps within the region.
- Cultivate deep relationships with customer technical leadership to drive long-term cloud adoption and strategic success.
- Provide expert technical guidance on migration, security, and scalability for AI-heavy workloads.
- Mentoring junior engineers and contributing to internal knowledge sharing within the Google Cloud AI community.
Kualifikasi
- Bachelor’s degree in Computer Science, Engineering, or a related technical field (or equivalent practical experience).
- Minimum of 8+ years of experience in technical pre-sales, software engineering, or cloud consulting.
- Expert-level proficiency in Google Cloud Platform (GCP) or equivalent major cloud providers (AWS/Azure).
- Deep technical understanding of machine learning frameworks (TensorFlow, PyTorch), LLMs, and data pipeline orchestration.
- Demonstrated experience in modern software development practices, including CI/CD, Kubernetes, and containerization.
- Exceptional communication and storytelling skills, with the ability to articulate complex technical concepts to non-technical stakeholders.
- Ability to thrive in a fast-paced, ambiguous environment while maintaining a strong customer-first mindset.