Senior Cloud AI Engineer: Gemini Enterprise Lead
Silver
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Job summary
Google Cloud Consulting Professional Services seeks a Senior Cloud AI Engineer to lead Gemini Enterprise deployments and help customers implement scalable AI solutions on Google Cloud. You will partner with executive sponsors, translate complex requirements into actionable plans, and guide engineering teams toward enterprise-grade outcomes.
The role focuses on Python, cloud architecture, and production GenAI deployments, with fluency in English to coordinate with global teams and partners.
Qualifications
- Bachelor's degree in Computer Science or related field.
- Experience in Python and cloud computing principles (serverless, virtualization, secure networking).
- Experience building and orchestrating agents using ADKs or frameworks (LangChain, LlamaIndex, AutoGen).
- Experience in software engineering, cloud architecture, or technical consulting and deploying production GenAI applications.
- Ability to communicate in English fluently with global teams.
Responsibilities
- Lead the global delivery and implementation of Gemini Enterprise solutions, applying ADKs to solve complex, enterprise-scale challenges.
- Serve as trusted technical advisor to C-suite executives at Google's global accounts, shaping AI strategy.
- Influence the core product roadmap by translating architectural challenges into actionable requirements for Google's engineering teams.
- Deliver high-stakes technical presentations to executive boards and key stakeholders to secure large-scale wins.
- Act as a thought leader and mentor across Google Cloud, shaping best practices for agentic AI architectures.
Skills
Education
Tools
Job description
Google Cloud Consulting Professional Services seeks a Senior Cloud AI Engineer to lead Gemini Enterprise deployments and help customers implement scalable AI solutions on Google Cloud. You will partner with executive sponsors, translate complex requirements into actionable plans, and guide engineering teams toward enterprise-grade outcomes.
The role focuses on Python, cloud architecture, and production GenAI deployments, with fluency in English to coordinate with global teams and partners.
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