AI Solution Architect — Cloud Learning & Automation

Google LLC; Town of Texas (WI); Hybrid; USD 183,000 - 265,000; Full time

Benefits offered by this job

Equity

Bonus target

Job summary

Google LLC is seeking an AI Solution Builder to serve as the connective tissue between technical innovation and scalable operations across enablement and learning experience teams.

You will identify inefficiencies, design agentic solutions, and deliver production-grade AI automations at scale, embedding with delivery teams to resolve workflow bottlenecks and translate complex problems into technical specs.

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 7 years of experience in Workflow Automation, Product Management, Software Engineering or Management Consulting.
• Experience in either system design or reading code (Java, C++, Python).
• Experience working with Generative AI tools and prompt engineering.
• Experience turning manual workflows into functional code or automations.
• Experience driving adoption for technical products and managing stakeholder ecosystems.

Responsibilities

• Identify inefficiencies in the business, design agentic solutions, and manage the operational excellence to scale them.
• Embed with delivery teams to uncover workflow bottlenecks and build scalable AI automations.
• Ship durable AI solutions at production scale with proper logging and security controls.
• Demystify AI tooling and drive internal adoption through guides and best practices.
• Establish evaluation frameworks to ensure AI safety, measure impact, and ROI.

Skills

Workflow automation

AI concepts

System design reading code

Prompt engineering

Stakeholder management

Education

Bachelor’s degree or equivalent practical experience

Job description

Google LLC is seeking an AI Solution Builder to serve as the connective tissue between technical innovation and scalable operations across enablement and learning experience teams.

You will identify inefficiencies, design agentic solutions, and deliver production-grade AI automations at scale, embedding with delivery teams to resolve workflow bottlenecks and translate complex problems into technical specs.