Software Engineer, Enterprise AI Capabilities

Google Inc.; San Jose (CA); On-site; USD 174,000 - 252,000; Full time

Job summary

Google's mid-level Software Engineer for Enterprise AI Capabilities will design, develop, and deploy scalable AI solutions for Google's enterprise functions. The role emphasizes collaboration with ML engineers and leads to build reusable AI primitives and infrastructure.

Ideal candidates have a Bachelor's degree (or equivalent), 5 years Python and ML experience, 3 years distributed systems, and strong cloud experience (GCP). Masters/PhD and Generative AI Agents experience are preferred.

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 5 years of experience in coding with Python.
• 5 years of experience with machine learning.
• 3 years of experience with distributed systems.
• Master's degree or PhD in Computer Science or related field (preferred).
• 5 years of experience working with Generative AI Agents.
• Experience using GCP or other Cloud services.
• Experience productionizing a service.

Responsibilities

• Design, develop, and deploy advanced AI and agentic solutions.
• Apply AI/ML techniques to Google's enterprise issues.
• Collaborate with research and enterprise teams to identify opportunities.
• Build and maintain shared AI infrastructure, frameworks, tools, and reusable components.
• Mentor junior engineers and contribute to the technical direction of the team.

Skills

Python

Machine Learning

Distributed Systems

Generative AI Agents

Education

Bachelor’s degree or equivalent practical experience

Master's degree or PhD in Computer Science or related technical field

Tools

GCP

Job description

Software Engineer, Enterprise AI Capabilities

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corporate_fare Google place San Jose, CA, USA

Mid

Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

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• Bachelor’s degree or equivalent practical experience.
  
• 5 years of experience in coding with Python.
• 5 years of experience with machine learning.
• 3 years of experience with distributed systems.

Preferred qualifications:

• Master's degree or PhD in Computer Science or related technical field.
  
• 5 years of experience working with Generative AI Agents.
• Experience using GCP or other Cloud services.
• Experience productionizing a service.

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.

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.

We are seeking a highly collaborative, skilled and experienced ML Software Engineer. In this role, you will be instrumental in designing, developing, and deploying advanced AI and agentic solutions for Google's enterprise functions. You will be responsible for applying AI/ML techniques to Google's enterprise issues. You will work closely with research as well as enterprise teams to identify opportunities for Agentic AI experiences in corporate workflows and will build and maintain shared AI infrastructure, frameworks, tools, and reusable components and provide clear guidance for developing enterprise-grade agents. You will serve as Customer Zero, showing that our own commercial AI products (like Gemini Enterprise) can reliably and securely power Google's critical internal operations, and distill learnings from internal deployment to harden our external offerings.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $174000 - $252000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google .

• 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.
• Drivea strong partner with Product Managers/User Experience (PM/UX) in defining product roadmap and new feature scope.
• Mentor junior engineers and contribute to the overall technical direction of the team.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.