AI Engineer, Enterprise Agentic Solutions

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

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