Engineering Lead, Applied AI & Cloud Support Intelligence

Google; Sunnyvale (CA); On-site; USD 207,000 - 300,000; Full time

Benefits offered by this job

Equity

Bonus target

Job summary

Google Cloud AI Research team seeks a senior software leader to grow and guide a team building production AI agent systems for Google Cloud Support. You will own delivery, technical direction, and career growth for engineers driving end-to-end solutions.

Responsibilities include setting multi-agent architecture, defining tool/skill design, and achieving metrics like deflection rate, time-to-resolution, and customer effort. This role thrives on innovation and impact at scale.

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 8 years of experience in software development.
• Experience in technical leadership, leading project teams, and setting technical direction.
• Experience in people management.

Responsibilities

• Lead, grow, and develop a team of engineers building production AI agent systems for Google Cloud Support, owning delivery, technical direction, and career growth for the team.
• Own a significant problem area within the CSP Intelligence charter
• Set technical direction for multi-agent architecture, orchestration, tool/skill design, and evaluation in an area where the platform landscape is still being decided - and make the calls on what we build, what we adopt, and what we retire.
• Drive measurable business outcomes: self-service deflection rate, time-to-resolution, average handle time, and customer effort score - and define the metrics and evaluation harnesses that prove it.
• Build the quality bar for applied AI: systematic evals, regression gates, and safe rollout practices for agents that take real actions on customer accounts.

Skills

Software development

Technical leadership

People management

Education

Bachelor's degree or equivalent practical experience

Master's degree or PhD in related field

Job description

Google Cloud AI Research team seeks a senior software leader to grow and guide a team building production AI agent systems for Google Cloud Support. You will own delivery, technical direction, and career growth for engineers driving end-to-end solutions.

Responsibilities include setting multi-agent architecture, defining tool/skill design, and achieving metrics like deflection rate, time-to-resolution, and customer effort. This role thrives on innovation and impact at scale.