Tech Lead, Internal Platforms & AI Systems

Google; United States; On-site; USD 207,000 - 300,000; Full time

Job summary

Google is seeking a Tech Lead for Corporate Engineering to drive architecture and delivery of scalable platforms and internal systems. You will lead cross-functional teams, own technical direction, and influence procurement and commercial tooling across Google's internal ecosystem.

The role emphasizes distributed systems, large-scale design, and integrating AI into workflows while collaborating with diverse stakeholders across Google.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 8 years of experience working with web applications and distributed systems.
• Experience in a technical leadership role leading project teams and setting technical direction.
• Experience programming in Java.
• Experience integrating artificial intelligence into workflows.
• Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
• 8 years of experience with data structures and algorithms.
• 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.
• Experience working on internal tools within supply chain, human resources, procurement and commercials.
• Experience working with machine learning and data modeling.

Responsibilities

• Architect and develop highly scalable platforms and networking infrastructure.
• Engineer enterprise-grade internal systems that empower thousands of Googlers globally.

Skills

Technical leadership

Java

AI integration

Distributed systems

Education

Bachelor's degree or equivalent practical experience

Master’s degree or PhD in Engineering/CS

Job description

Google is seeking a Tech Lead for Corporate Engineering to drive architecture and delivery of scalable platforms and internal systems. You will lead cross-functional teams, own technical direction, and influence procurement and commercial tooling across Google's internal ecosystem.

The role emphasizes distributed systems, large-scale design, and integrating AI into workflows while collaborating with diverse stakeholders across Google.