Senior Software Engineer, Generative AI, Google Cloud AI

Google•Apply•Published 10 days ago•First seen 10 days ago

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.

With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.

The Google Cloud Platform Generative AI team helps customers unlock their potential with AI. As part of an entrepreneurial team in this growing business, you will help shape the future of businesses of all sizes using AI and ML. You will apply expertise in implementing and deploying Generative AI (GenAI) solutions.Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

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 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 or equivalent practical experience.
5 years of experience with software development in one or more programming languages: Python, Java, or C++.
3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
Experience with machine learning algorithms and tools (e.g., TensorFlow), artificial intelligence, deep learning, natural language processing or other machine learning disciplines.
Experience working as Technical Solution Architect in a cloud computing environment or a customer-facing role.
Ability to communicate in English and Japanese fluently to support client relationship management in this region.

Preferred qualifications:

Master's degree or PhD in Computer Science or related technical field.
5 years of experience with data structures/algorithms.
Experience with building AI and machine learning solutions, Machine Learning Operation frameworks like Kubeflow, and leveraging machine learning architectures (e.g., deep learning, LSTM, etc.).
Experience architecting and developing software or infrastructure for distributed systems and with machine learning technologies.
Understanding of AI Models, Large Language Models, AI specialized infrastructure and AI practice.
Ability to learn, understand, and work with new technologies, methodologies, and solutions in the Cloud/IT technology space.