AI Solution Builder for Enterprise Automation

Google; Atlanta (GA); On-site; USD 152,000 - 221,000; Full time

Benefits offered by this job

Equity

Bonus target

Benefits

Job summary

Google seeks an AI Solution Builder to serve as the connective tissue between technical innovation and operational efficiency across enablement and learning-experience teams. You will identify inefficiencies, design agentic AI solutions, and ship durable, production-grade automations at scale.

You will work at the intersection of strategy and software engineering, embedding with delivery teams to translate complex problems into technical specs.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 5 years of experience in Workflow Automation, Product Management, Software Engineering or Management Consulting (with Skill Development or Transformation experience).
• Experience working with Generative AI tools and prompt engineering.

Responsibilities

• Embed with operational, content, and enablement teams to map workflows and identify bottlenecks for agentic automation.
• Build, test, and iterate on AI agents, custom tools, and automated pipelines using Gemini Enterprise, Antigravity, and frameworks like ADK, LangChain, and MCP.
• Transform proofs-of-concept into reliable, enterprise-grade internal applications with proper logging, observability, security controls, and human-in-the-loop checkpoints.
• Demystify AI tooling and drive adoption by authoring internal guides, architectural recipes, and best practices to help team members integrate automation into daily workflows.
• Establish evaluation frameworks to ensure AI safety and performance standards, quantify business impact, and vet new AI opportunities for ROI.

Skills

Generative AI

Prompt engineering

Workflow automation

Stakeholder management

Software engineering

Education

Bachelor's degree

Tools

Gemini Enterprise

Antigravity

ADK

LangChain

Model Context Protocol (MCP)

Job description

Google seeks an AI Solution Builder to serve as the connective tissue between technical innovation and operational efficiency across enablement and learning-experience teams. You will identify inefficiencies, design agentic AI solutions, and ship durable, production-grade automations at scale.

You will work at the intersection of strategy and software engineering, embedding with delivery teams to translate complex problems into technical specs.