9 hours ago
Bengaluru, India or Hyderābād, IndiaStaff+
Responsibilities
- Lead and oversee global delivery and implementation of Gemini Enterprise solutions using Agent Development Kits to solve complex enterprise-scale technical challenges.
- Advise C-suite executives at strategic global accounts on AI strategy and Gemini Enterprise adoption.
- Translate complex architectural challenges into actionable requirements for Google engineering teams and influence the product roadmap.
- Deliver technical recommendations and high-stakes presentations to executive boards and business stakeholders.
- Mentor engineers across Google Cloud and shape 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 generative AI applications, AI agents, and LLM-powered solutions.
- Experience with system design or reading Python code.
- Preferred: Master’s degree or PhD in computer science, artificial intelligence, machine learning, or a related field.
- Preferred: Experience with multimodal AI solutions involving text, image, video, and voice.
- Preferred: Experience leading or architecting large-scale cloud or data transformations.
- Preferred: Applied knowledge of AI security, LLM governance, enterprise guardrails, data privacy, data sovereignty, and global compliance requirements.
Tech Stack
Google CloudPython
Categories
Solutions Engineering
About Google
Google builds consumer and enterprise software and services including Search, Android, YouTube, Chrome, Maps, Gmail, and Google Cloud. Its business model centers on digital advertising and paid cloud, software, and hardware offerings (e.g., Pixel and Nest) for consumers, developers, and organizations. Founded in 1998 and headquartered in Mountain View, California, Google operates globally as a subsidiary of Alphabet Inc.