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Google Cloud AI Solutions Architect, Gemini Enterprise - The Data Sherpas
Solutions Architect
Lead end‑to‑end design and deployment of Gemini Enterprise and generative AI solutions on Google Cloud, translating client workflows into secure, scalable, production‑ready systems.
About the role
Key Responsibilities
- Architect, build, and configure Gemini Enterprise and agentic AI solutions for enterprise clients.
- Translate complex client workflows into secure, scalable, production‑ready AI architectures on Google Cloud.
- Prototype, code, and integrate generative AI models, ensuring performance and reliability.
- Collaborate with cross‑functional teams to deliver technical solutions that meet business objectives.
- Provide technical guidance and best‑practice recommendations throughout the delivery lifecycle.
Requirements
- Extensive hands‑on experience with Google Cloud Platform and Gemini Enterprise.
- Proven track record in AI/ML implementation and generative AI solution delivery.
- Strong architectural skills with a focus on security, scalability, and production readiness.
- Excellent coding, prototyping, and integration abilities.
- Effective communication skills for client‑facing technical delivery.