Cloud AI Engineer, Technical Onboarding Center

• Lead the delivery, deployment, and implementation of Gemini Enterprise solutions, utilizing Agent Development Kits (ADKs) to solve complex, enterprise-scale technical customer challenges.
• Act as a trusted technical advisor to Google’s most strategic customers to shape their AI strategy, drive, and accelerate the adoption of Gemini Enterprise.
• Provide architectural guidance on existing product challenges, collaborate closely with the engineering team to address gaps, and architect scalable workarounds for edge cases.
• Deliver leading practice recommendations and technical presentations adapted to different levels of key business and technical stakeholders (including C-suite executives) to proactively foster Gemini Enterprise adoption and enablement.

Minimum qualifications:

• Bachelor's degree in Computer Science or a related technical field, or equivalent practical experience.
• 3 years of experience in software engineering, cloud architecture, or technical consulting, infrastructure with 2 years of experience in building and deploying GenAI applications, intelligent agents, or LLM-powered solutions to production.
• Experience building and orchestrating agents using ADKs, LangChain, LlamaIndex, AutoGen and in designing modern application architectures, including API design, microservices, and integrating AI models into existing enterprise software systems.
• Experience with Python.

Preferred qualifications:

• Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• Google Cloud Professional certifications.
• Experience implementing scalable RAG architectures and securely connecting LLMs with external productivity tools (e.g., Google Workspace) and complex enterprise databases in high-traffic environments.
• Experience leading technical project deployments, working with engineering teams, or acting as the technical lead on large-scale cloud transformations.
• Experience deploying, configuring, and managing enterprise-grade generative AI platforms (particularly Gemini Enterprise), with an understanding of AI security, Large Language Models (LLM) governance, guardrails, and enterprise compliance requirements (e.g., data privacy regulations).

• Bachelor's degree in Computer Science or a related technical field, or equivalent practical experience.
• 3 years of experience in software engineering, cloud architecture, or technical consulting, infrastructure with 2 years of experience in building and deploying GenAI applications, intelligent agents, or LLM-powered solutions to production.
• Experience building and orchestrating agents using ADKs, LangChain, LlamaIndex, AutoGen and in designing modern application architectures, including API design, microservices, and integrating AI models into existing enterprise software systems.
• Experience with Python.