Senior AI Solution Builder, Cloud Learning Services

Google; Chicago (IL); On-site; USD 152,000 - 221,000; Full time

Benefits offered by this job

Equity

Bonus target 15%

Benefits

Job summary

Google is seeking a Senior AI Solution Builder for Cloud Learning Services to embed with operations, content, and enablement teams, mapping workflows and driving agentic automation. You will build AI agents and automated pipelines with Gemini Enterprise, ADK, LangChain, and MCP, turning proofs-of-concept into robust internal apps.

The role emphasizes governance, security, logging, and human-in-the-loop checks, aiming to quantify business impact and guide strategic AI opportunities across

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.

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 strategically vet new AI opportunities for maximum return on investment.

Skills

Workflow Automation

Product Management

Software Engineering

Management Consulting

Generative AI

Prompt Engineering

Stakeholder Management

Education

Bachelor's degree or equivalent practical experience

Tools

LangChain

ADK

Gemini Enterprise

Antigravity

Model Context Protocol (MCP)

Job description

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.