Google

Senior Software Engineer, Google Cloud, Generative AI, Blackbelt

Google  •  Tel Aviv, IL (Onsite)  •  14 days ago
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Job Description

Minimum qualifications:

  • Bachelor's degree in Computer Science, Information Technology, Engineering, a related technical field, or equivalent practical experience.
  • 5 years of experience in software development.
  • Experience programming with Python.
  • Experience with data science or machine learning.

Preferred qualifications:

  • 5 years of experience with data structures and algorithms.
  • Experience building scalable software architectures that use agentic or GenAI driven capabilities.
  • Experience architecting and developing software or infrastructure for scalable, distributed systems and with machine learning technologies.
  • Experience with GenAI, AI Agents, or related technologies.
  • Understanding of Responsible AI practices.

About the job

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.

The Google Cloud Platform Generative AI Blackbelt team helps customers unlock their potential with AI. As part of an entrepreneurial team in this rapidly growing business, you will help shape the future of businesses of all sizes using AI and ML.

The Cloud Applied AI (AAI) powers business growth with Gemini Enterprise. Our portfolio includes Gemini Enterprise for Customer Experience (Shopping Agent, CX Agent Studio, Agent Assist, Vertex AI Search - Commerce, Customer Experience Insights), along with other vertical and domain packaged solutions. We enable high adoption and speed to value by building solutions that are quickly deployed, delivering new 0-to-1 capabilities with startup agility. Team members operate at the forefront of AI, collaborating directly with model builders with unprecedented speed. Join us to work on cutting-edge projects and shape the future of AI in a fast-paced, collaborative, and impactful environment.

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.
Google

About Google

A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone.

Check out our career opportunities at goo.gle/3DLEokh

Industry
IT & Software
Company Size
10,000+ employees
Headquarters
Mountain View, CA
Year Founded
Unknown
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