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Customer Engineer, Data Analytics and AI, Google Cloud

Google Cloud helps businesses transform and build what's next with cloud technology, offering enterprise-grade solutions and cutting-edge tools.
Data
Senior Software Engineer
In-Person
5,000+ Employees
10+ years of experience
AI · Enterprise SaaS · Cloud

Description For Customer Engineer, Data Analytics and AI, Google Cloud

Google Cloud is seeking a Customer Engineer specializing in Data Analytics and AI to join their team in Singapore. This role combines technical expertise in cloud architecture, data engineering, and artificial intelligence with customer-facing responsibilities. The position requires 10 years of experience working with cloud native architectures in customer-facing roles.

As a Customer Engineer, you'll work at the intersection of technical sales and solution architecture, helping customers leverage Google Cloud's data and AI capabilities. You'll be responsible for designing end-to-end solutions covering data lifecycle management, from ingestion to advanced analytics and ML model deployment. The role involves working with cutting-edge technologies including MLOps, generative AI, and AI agents.

The ideal candidate should have deep expertise in data warehousing, real-time processing, MLOps, and cloud architecture. You'll need to demonstrate both technical prowess and excellent communication skills, as you'll be working directly with customers to understand their needs and translate them into effective technical solutions.

This position offers the opportunity to work with Google Cloud's latest innovations in data and AI, while helping shape how businesses leverage these technologies. You'll be part of Google Cloud's mission to accelerate digital transformation across industries, working with a diverse range of customers and partners.

The role combines aspects of solution architecture, technical sales engineering, and data/AI expertise. You'll need to stay current with the latest developments in cloud technology, particularly in areas like generative AI, LLMs, and AI agents. This is an excellent opportunity for someone who wants to work at the forefront of cloud technology while having a direct impact on customer success.

Last updated 2 days ago

Responsibilities For Customer Engineer, Data Analytics and AI, Google Cloud

  • Design and implement solutions that cover the entire data lifecycle from ingestion, storage and processing
  • Guide customers in building and integrating collaborative AI agents
  • Identify opportunities where AI agents can automate tasks, enhance decision-making and create value
  • Communicate architectural concepts effectively to technical stakeholders and executive leadership
  • Leverage the latest advancements in Google Cloud's data and AI portfolio

Requirements For Customer Engineer, Data Analytics and AI, Google Cloud

Python
Kubernetes
  • Bachelor's degree or equivalent practical experience
  • 10 years of experience with cloud native architecture in a customer-facing or support role
  • Experience with practical application and architectural considerations of AI/ML, including Machine Learning lifecycle, ML frameworks and MLOps principles
  • Experience in developing data warehouses, data lakes, batch/real-time event processing
  • Experience in conducting technical discovery, business and technical requirements

Benefits For Customer Engineer, Data Analytics and AI, Google Cloud

Visa Sponsorship
  • Visa sponsorship may be available

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