1 day ago
Yerevan, Armenia or Mexico City, MexicoSenior
Responsibilities
- Lead global delivery and implementation of Gemini Enterprise solutions using Agent Development Kits for enterprise-scale challenges.
- Advise C-suite executives and strategic global accounts on AI strategy and Gemini Enterprise adoption.
- Translate complex customer architecture challenges into actionable requirements for Google engineering teams.
- Deliver technical recommendations and presentations to executive boards and business stakeholders.
- Provide technical project management, consulting, implementation guidance, and best practices for customer engagements on Google Cloud.
- Mentor Google Cloud engineers and shape best practices for agentic AI architectures.
Requirements
- Bachelor's degree in Computer Science, a related field, or equivalent practical experience.
- Experience with Python, cloud computing principles, software engineering, cloud architecture, or technical consulting.
- Experience building and orchestrating agents with Agent Development Kits, LangChain, LlamaIndex, or AutoGen.
- Experience deploying production Generative AI applications.
- Fluent English communication skills for collaboration with global teams.
- Preferred qualifications include a master's degree, relevant Google Cloud certifications, enterprise GenAI platform experience, AI security and governance knowledge, multimodal LLM solutions experience, scalable RAG architecture experience, and a track record leading technical deployments and engineering teams.
Tech Stack
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.