Staff AI Solution Builder, Cloud Learning Services

• 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.

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.

• 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.