AI Ecosystem & Platform Engineering Lead

Google LLC; Kirkland (WA); On-site; USD 233,000 - 324,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

Life insurance

Disability insurance

401(k) with company match

Paid time off

Sick time

Maternity leave

Baby bonding leave

Paid holidays

Job summary

Google LLC in the United States is seeking a Senior Technical Architect to drive AI strategy and partner engagements across Google Cloud. You will align multiyear AI roadmaps with executive leadership and lead cross-functional teams to deliver end-to-end AI solutions for customers and partners.

The role emphasizes deep expertise in LLMs, AI productization, and scalable cloud architectures, working with ecosystem partners to realize traction and value.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 10 years as a technical Solution Architect in cloud environments.
• 5 years with LLMs, agentic workflows, big data & ML.
• 5 years with AI products, tech, and infrastructure.
• Experience bridging technical work with business strategy.

Responsibilities

• Serve as trusted technical advisor to partner executive leadership.
• Lead AI and agentic activities with strategic partners.
• Identify business opportunities; deliver POCs and demos.
• Collaborate with product, engineering, solution management, and Customer Engineering.
• Recommend integration strategies and enterprise architectures for robust solutions.

Skills

Technical Solution Architect

LLMs & AI

Cloud computing

Partner management

Business-technical bridging

Education

Bachelor's degree in CS/Engineering/Math

Tools

Kubeflow

ML architectures

AI platforms

Job description

Google LLC in the United States is seeking a Senior Technical Architect to drive AI strategy and partner engagements across Google Cloud. You will align multiyear AI roadmaps with executive leadership and lead cross-functional teams to deliver end-to-end AI solutions for customers and partners.

The role emphasizes deep expertise in LLMs, AI productization, and scalable cloud architectures, working with ecosystem partners to realize traction and value.