Cloud AI Engineer, Technical Onboarding Center, Google Cloud

Google; Bengaluru; On-site; INR 3,600,000 - 7,200,000; Full time

Job summary

Google Cloud is seeking a Cloud AI Engineer to lead the global delivery of Gemini Enterprise solutions and shape enterprise AI strategies. You will design production-ready architectures and partner with executive stakeholders to drive autonomous agent transformations.

Impactful role at Google Cloud, collaborating with global teams to unlock enterprise-wide workflow transformations using advanced AI technologies.

Qualifications

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

Responsibilities

• Lead global delivery and implementation of Gemini Enterprise solutions.
• Serve as trusted technical advisor to C-suite executives at global accounts.
• Influence core product roadmap by translating architectural challenges into requirements.
• Deliver high-stakes technical presentations to secure large-scale wins.
• Mentor engineers and shape best practices for agentic AI architectures.

Skills

Cloud architecture

Python

AI/ML architecture

GenAI deployments

Education

Bachelor’s degree or equivalent practical experience

Master’s degree or PhD in CS/AI/ML (preferred)

Tools

Agent Development Kits (ADKs)

Gemini Enterprise

Job description

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Bengaluru, Karnataka, India; Gurgaon, Haryana, India; Hyderabad, Telangana, India.

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).

About The Job

The Google Cloud team helps organizations seamlessly make the switch to Google products and supports them along the way. You address the customer and swiftly problem-solve technical issues to show how our products can make businesses more productive, collaborative, and innovative. Your relationships with customers are crucial in helping Google grow its Cloud business and helping companies around the world innovate.

As a Cloud AI Engineer, you will operate at the pinnacle of technical leadership, ensuring strategic global customers have a transformative experience adopting Gemini Enterprise and the broader Google Cloud Agentic AI suite. You will design, govern, and oversee the implementation of highly resilient, production-ready application architectures. You will partner with executive stakeholders to identify monumental opportunities for enterprise-wide workflow transformation using autonomous agents. With unparalleled access to Google’s technology, you will handle the most complex performance and behavioral agent challenges, ultimately leading the end-to-end execution of global Google Cloud digital transformations.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

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.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.