Enterprise AI Engineer: Agentic ML & Scalable Systems

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

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.