Software Engineer, Enterprise AI Capabilities

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

Job summary

Google's Enterprise AI Capabilities team in San Jose seeks a skilled ML Software Engineer to design, develop, and deploy advanced AI and agentic solutions for Google's enterprise functions. You will apply AI/ML techniques to complex workflows, collaborate with research and enterprise teams, and build reusable AI infrastructure and tools.

Requirements include a Bachelor's degree, 5 years in Python and ML, 3 years in distributed systems; preferred Master/PhD, 5 years with Generative AI Agents, and

Qualifications

• Bachelor's degree required; equivalent practical experience accepted.
• 5 years of Python coding experience.
• 5 years of ML experience.
• 3 years of distributed systems experience.

Responsibilities

• Design and implement scalable AI solutions for Google's enterprise functions using 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 to transform Google's business functions.
• Partner with Product Managers and UX to define product roadmap and new features.
• Mentor junior engineers and contribute to the team's technical direction.

Skills

Python

Machine learning

Distributed systems

Education

Bachelor's degree

Job description

Software Engineer, Enterprise AI Capabilities

Google – San Jose, CA, USA

Mid

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

Minimum 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.

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.

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.

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.
• Drive a 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.

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