Generative AI Specialist, Google Cloud
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.
Minimum qualifications:
- Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.
- 2 years of experience with software development in one or more programming languages (e.g., Go, C++, Python).
- 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 Generative AI Agent, Machine Learning, Artificial Intelligence, Architecture, AI products, technologies and cloud infrastructure.
Preferred qualifications:
- Master’s degree or PhD in Engineering, Computer Science, or other technical related 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, AI agents, AI Agentic workflows 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