Cloud AI Engineer, Technical Onboarding Center, Google Cloud
Technology, Data & Digital · Data, AI & Analytics · Artificial Intelligence · Machine Learning · Cloud Engineering
In short
As a Cloud AI Engineer at Google Cloud, you will provide technical leadership to global customers, focusing on the adoption of Gemini Enterprise and the Agentic AI suite. You will design, govern, and oversee the implementation of resilient application architectures, partnering with stakeholders to drive enterprise-wide workflow transformation using autonomous agents.
Responsibilities
- 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.
Requirements
- 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).
Desired 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).
Benefits
- Opportunity to shape the core product roadmap.
- Deliver high-stakes technical presentations to executive boards.
- Act as a thought leader and mentor across the Google Cloud organization.
#AI#Machine Learning#Google Cloud#GenAI#LLM#Cloud Architecture#Technical Consulting#Enterprise Solutions#Agentic AI
Company
Job Posted
1 week ago
Employment Type
Full Time
WorkMode
On Site
Experience Level
Mid-Senior
Locations
Bengaluru, India
Gurgaon, India
Hyderabad, India
Qualification
Bachelor, Master, Doctoral
Applicants
Be an early applicant