AI Agent & Cloud Operations Architect

Google LLC; Atlanta (GA); On-site; USD 186,000 - 269,000; Full time

Benefits offered by this job

Health, dental, vision, life, and more

401(k) with company match

Paid time off: 20 days/year

Sick time: 40 hours/year

Maternity and Baby Bonding leaves

13 paid holidays

Job summary

Google LLC in Atlanta, Seattle, and additional US locations seeks an Applied AI and Commercial Operations Specialist. You will lead AI-driven operations, build AI agents, and analyze data to influence large-scale infrastructure decisions across GTM and capacity planning.

The role blends engineering and business insight, working with senior stakeholders to automate workflows and optimize compute, storage, and AI chip utilization. Competitive benefits apply.

Qualifications

• Bachelor's degree in Computer Science, Engineering, Finance, or equivalent practical experience.
• 8 years of experience in data analysis.
• Experience with Agentic programming or application development.
• Experience in data analytics tools and languages, including advanced SQL, BigQuery, Looker, or similar.
• Experience in cloud infrastructure, including IaaS compute, storage, and networking products.

Responsibilities

• Own projects across Agentic tools engineering, demand forecasting, capacity planning, and performance management.
• Develop implementation roadmaps and execute AI tooling and automation initiatives.
• Design custom agent frameworks and integrate with GTM and capacity systems.

Skills

Data analysis

Agentic programming

Application development

Advanced SQL

BigQuery

Looker

Education

Bachelor's degree in Computer Science, Engineering, Finance, or equivalent practical experience

Tools

SQL

BigQuery

Looker

Job description

Google LLC in Atlanta, Seattle, and additional US locations seeks an Applied AI and Commercial Operations Specialist. You will lead AI-driven operations, build AI agents, and analyze data to influence large-scale infrastructure decisions across GTM and capacity planning.

The role blends engineering and business insight, working with senior stakeholders to automate workflows and optimize compute, storage, and AI chip utilization. Competitive benefits apply.