Minimum qualifications: Bachelor’s degree or equivalent practical experience. 5 years of experience with software development in one or more programming languages. 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture. Preferred qualifications: Master's degree or PhD in Computer Science or related technical field. 5 years of experience with data structures and algorithms. 1 year of experience in a technical leadership role. Experience developing accessible technologies. Experience using Google Cloud Platform (GCP) or other Cloud services. 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 Enterprise AI team is responsible for applying AL/ML techniques to Google's own enterprise challenges in the most responsible manner. The team works closely with research as well as enterprise teams to identify opportunities for AI incorporation and application. In this role, you will be instrumental in designing, developing, and deploying advanced AI and agentic solutions for Google's enterprise functions such as Legal, POps, Finance and beyond. You will also be expected to look for opportunities to factor out reusable AI primitives and contribute towards foundational building blocks to help accelerate the work of other ML engineers in Corporate Engineering. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $174000 - $253000 (USD) + 15% bonus target + equity + benefits Learn more about benefits at Google. Responsibilities Design and implement scalable AI solutions for Google's enterprise functions leveraging our enterprise AI best practices and foundational building blocks. Collaborate with ML engineers and leads on developing reusable enterprise AI primitives. Drive innovation in AI and agentic solutions that help transform Google's business functions. Be a strong partner with Product Management/UX in defining product roadmap and new feature scope. Mentor engineers and contribute to the overall technical direction of the team. Lead by example.