AI Automation Engineer for Enterprise Learning Platforms

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

Benefits offered by this job

Equity

Bonus program

Benefits package

Job summary

Google LLC is seeking an AI Solution Builder in Austin, TX to connect technical innovation with operational efficiency. You will identify workflow bottlenecks, design agentic AI solutions, and ship scalable automations across enablement teams.

The role requires turning complex problems into technical specs and delivering durable, production-grade AI applications within a cross-functional setting.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 5 years of experience in Workflow Automation, Product Management, Software Engineering or Management Consulting.
• Experience with Generative AI tools (e.g., LLMs, MCP) and prompt engineering.
• Experience turning manual workflows into functional code or automations.
• Experience driving adoption for technical products and managing stakeholder ecosystems.

Responsibilities

• Embed with operations and enablement teams to map workflows for agentic automation.
• Build, test, and iterate AI agents, tools, and pipelines using Gemini Enterprise, ADK, LangChain.
• Transform proofs-of-concept into enterprise-grade internal apps with logging and security controls.
• Demystify AI tooling and share internal guides and best practices for automation adoption.
• Establish evaluation frameworks to quantify business impact and ROI for AI opportunities.

Skills

Workflow automation

Product management

Software engineering

Management consulting

Generative AI

Prompt engineering

Automation code

Stakeholder management

Education

Bachelor's degree or equivalent practical experience

Tools

Gemini Enterprise

Antigravity

ADK

LangChain

Model Context Protocol (MCP)

Job description

Google LLC is seeking an AI Solution Builder in Austin, TX to connect technical innovation with operational efficiency. You will identify workflow bottlenecks, design agentic AI solutions, and ship scalable automations across enablement teams.

The role requires turning complex problems into technical specs and delivering durable, production-grade AI applications within a cross-functional setting.