Senior AI Solution Builder, Cloud Learning Services

About the job Senior AI Solution Builder, Cloud Learning Services corporate_fare Google place Austin, TX, USA; Atlanta, GA, USA; +2 more info_outline X The application window will be open until at least October 12, 2026. This opportunity will remain online based on business needs which may be before or after the specified date.Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Austin, TX, USA; Atlanta, GA, USA; Boulder, CO, USA; Chicago, IL, USA. Minimum 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 (e.g., LLMs, MCP) and prompt engineering. Experience turning manual workflows into functional code or automations. Experience driving adoption for technical products and managing the stakeholder ecosystems. Preferred qualifications Experience prototyping tools and exploring new technologies to evaluate their potential, independent of a formal software engineering role. Understanding of centralized governance models, with experience operationalizing programs across decentralized teams. Proficiency with SQL, including the ability to independently query adoption metrics and model business impact. Ability to simplify and communicate complex technical concepts (e.g., RAG, Vector, Agentic workflows) to non-technical leadership. 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 Agent Development Kit (ADK), LangChain, and Model Context Protocol (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 strategically vet new AI opportunities for maximum return on investment. Compensation and benefits US: $152000 - $221000 (USD) + 15% bonus target + equity + benefits Learn more about benefits at Google. #J-18808-Ljbffr Google