Generative AI Specialist, Blackbelt, Google Cloud

Google · Singapore

mid machine learning AI Engineer ic 5+ yrs Bachelor's · Posted Mar 18, 2026
AI Summary
Mid-level AI Engineer at Google working on generative AI products and cloud infrastructure. Develops next-generation technologies, collaborates with product and sales teams to implement AI solutions for customers, and helps enterprises build AI-powered applications using Google's LLMs and specialized hardware.
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Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

As a Generative Artificial Intelligence (AI) Specialist, you will work with Product Development and Technical Sales teams as a Generative AI subject matter expert to bring Google Cloud AI products to customers and partners.

In this role, you will help prospective customers and partners understand the power of Google AI, explaining technical features, helping customers design architectures, build AI powered applications, and problem-solving any potential roadblocks. You will also have the opportunity to help customers leverage Google Cloud’s Generative AI services, including Large Language Models and specialized Machine Learning (ML) hardware developed by Google, called Tensor Processing Unit.

Responsibilities

  • Work with the team to identify and qualify business opportunities, understand key customer technical objections, and develop the strategy to resolve technical blockers.
  • Provide AI expertise to support the technical relationship with Google’s customers, manage product and solution briefings, create demos, proof-of-concept work, and partner directly with product management to prioritize solutions impacting customer adoption to Google Cloud.
  • Recommend integration strategies, enterprise architectures, platforms, and application infrastructure required to implement a complete solution for Google Cloud.
  • Support developers, creators, and enterprises to leverage Google’s Generative Language APIs so they can build their own AI products in the future.
  • Travel to customer sites, conferences, and other related events as needed.

Minimum qualifications:

  • Bachelor's degree in Computer Science or a related technical field, or equivalent practical experience.
  • 5 years of experience with software development in one or more programming languages.
  • Experience with Large Language Models (LLMs), open source, big data, machine learning, and numerical programming frameworks.
  • Experience as a Technical Solution Architect in a cloud computing environment or a customer-facing role.
  • Experience working with AI products, technologies and cloud infrastructure.

Preferred qualifications:

  • Master's degree or PhD in Computer Science or related technical field.
  • Experience with building AI and machine learning solutions, machine learning operation frameworks like Kubeflow, and leveraging specific machine learning architectures (e.g., deep learning, LSTM, etc.).
  • Understanding of AI models, large language models, and AI specialized infrastructure especially as it relates to AI trends and issues within businesses.
  • Ability to quickly learn, understand, and work with new emerging technologies, methodologies, and solutions in the Cloud/IT technology space
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