Cloud AI Engineer, Technical Onboarding Center, Google Cloud

• Lead and oversee the global delivery and implementation of Gemini Enterprise solutions, utilizing Agent Development Kits (ADKs) to solve highly complex, enterprise-scale technical challenges.
• Serve as the trusted technical advisor to C-suite executives at Google’s most strategic global accounts, shaping their overarching AI strategy and accelerating the adoption of Gemini Enterprise.
• Influence the core product roadmap by translating complex architectural challenges into actionable requirements for Google's engineering teams.
• Deliver leading practice recommendations and high-stakes technical presentations to executive boards and key business stakeholders to secure massive-scale technical wins.
• Act as a thought leader and mentor across the Google Cloud organization, elevating the technical acumen of engineers and shaping best practices for agentic AI architectures.

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.
  
• 5 years of experience in cloud architecture and consulting.
• 3 years of experience in AI/ML architecture, deploying GenAI applications, AI Agents and LLM-powered solutions.
• Experience in either system design or reading code (Python).

Preferred qualifications:

• Master’s degree or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• Experience pioneering multimodal AI solutions (text, image, video, and voice) to solve novel, previously unsolved enterprise workflow challenges.
• Track record of acting as the technical lead or architect on large-scale, cloud or data transformations.
• Understanding and applied experience with AI security, LLM governance, enterprise guardrails, and global compliance requirements (e.g., data privacy regulations, data sovereignty).

• Bachelor’s degree or equivalent practical experience.
  
• 5 years of experience in cloud architecture and consulting.
• 3 years of experience in AI/ML architecture, deploying GenAI applications, AI Agents and LLM-powered solutions.
• Experience in either system design or reading code (Python).