Senior AI Solution Builder, Cloud Learning Services

Google; Boulder (CO); On-site; USD 183,000 - 265,000; Full time

Job summary

Google is hiring a Senior AI Solution Builder (Cloud Learning Services) to bridge technical innovation with operational excellence. You will design agentic AI solutions, scale automations, and collaborate with delivery teams to remove workflow bottlenecks.

You will translate complex problems into specs and ship production-grade AI tools in a fast-moving environment. The role requires deep AI fluency, stakeholder management, and a track record turning ideas into deployable automation, with a

Qualifications

• Bachelor’s degree or equivalent practical experience.
• 7 years of experience in Workflow Automation, Product Management, Software Engineering or Management Consulting (with Skill Development or Transformation experience)
• Experience in either system design or reading code (e.g., Java, C++, Python).
• 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 operations and enablement teams to map workflows for automation.
• Build, test, and iterate AI agents, tools, and pipelines using Gemini Enterprise, Antigravity, ADK, LangChain, MCP.
• Transform proofs-of-concept into enterprise-grade internal apps with proper logging and security.
• Demystify AI tooling and drive internal adoption via guides and best practices.
• Establish evaluation frameworks to ensure AI safety, quantify impact, and vet new opportunities.

Skills

Workflow Automation

Product Management

Software Engineering

Management Consulting

Reading code (Java, C++, Python)

Education

Bachelor's degree or equivalent practical experience

Tools

Gemini Enterprise

Antigravity

ADK

LangChain

Model Context Protocol (MCP)

Job description

Senior AI Solution Builder, Cloud Learning Services

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Advanced

Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain.

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In most instances, this position requires in-person interviews as part of the hiring process.

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.

• 7 years of experience in Workflow Automation, Product Management, Software Engineering or Management Consulting (with Skill Development or Transformation experience)

• Experience in either system design or reading code (e.g., Java, C++, Python).

• 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.

• Proficiency with SQL, including the ability to independently query adoption metrics and model business impact.

• Understanding of centralized governance models, with experience operationalizing programs across decentralized teams.

• Ability to simplify and communicate complex technical concepts (e.g., RAG, Vector, Agentic workflows) to non-technical leadership.

About the job

As an AI Solution Builder, you will act as a primary operator serving as the connective tissue between technical innovation, operational efficiency across our enablement and learning experience teams.

You are an AI-fluent builder and strategist who will identify inefficiencies in the business, design agentic solutions to solve them, and manage the operational excellence required to scale them. You will operate at the intersection of strategy and software engineering, you will embed with delivery teams to uncover workflow bottlenecks and build cohesive, 0-to-1 production-grade AI automations. You are comfortable diving into messy, ambiguous business problems, translating them into technical specs, and shipping durable AI solutions that scale.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $183000 – $265000 (USD) + 20% bonus target + equity + benefits

Learn more aboutbenefits at Google https://www.google.com/about/careers/applications/benefits/ .

Responsibilities

• Embed with operational, content, and enablement teams to map workflows and identify high-impact opportunities 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.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google’sApplicant and Candidate Privacy Policy (./privacy-policy) .

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See alsoGoogle’s EEO Policy https://www.google.com/about/careers/applications/eeo/ ,Know your rights: workplace discrimination is illegal https://careers.google.com/jobs/dist/legal/EEOC_KnowYourRights_10_20.pdf ,Belonging at Google https://about.google/belonging/ , andHow we hire https://careers.google.com/how-we-hire/.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also https://careers.google.com/eeo/ and https://careers.google.com/jobs/dist/legal/OFCCP_EEO_Post.pdf