Cloud AI Engineer, Technical Onboarding Center, Google Cloud
Google (company site, opens in a new tab)6+ yrsGurugramOn-siteDirect career pageEst. 45–70 LPA
Posted 20h ago
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Job description
Structured overview of role & requirements
About This Role
- Lead global delivery and implementation of Gemini Enterprise AI solutions for complex enterprise challenges using Agent Development Kits.
- Act as trusted technical advisor to C-suite executives in strategic global accounts, shaping AI strategy and accelerating Gemini Enterprise adoption.
- Influence product roadmap by translating architectural challenges into requirements and deliver executive-level technical presentations to secure large-scale technical engagements.
Minimum Requirements
- Bachelor's degree in Computer Science or related technical field, or equivalent practical experience.
- Minimum 6 years of experience in software engineering, enterprise cloud architecture, or technical consulting.
- At least 3 years experience in advanced AI/ML architecture including deploying generative AI applications, intelligent agents, or LLM-powered solutions globally.
- Proficiency in Python including development and deployment of tiered microservices and production cloud infrastructure or cloud-based data solutions.
Ideal Candidate Profile
- Experienced in architecting and deploying enterprise-scale AI solutions, especially in generative AI and agentic workflows.
- Ability to operate at a strategic and technical leadership level, advising C-suite stakeholders and influencing product development.
- Skilled in delivering complex technical presentations and mentoring engineers on best practices in AI architectures.