Google Cloud Platform Architect
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Role details
Tech stack
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Requirements
At least 15 years of total IT experience with over 5 years as Architect.
Ability to lead the design, delivery, and governance of new enterprise data and analytics platforms, leveraging services including BigQuery, Cloud Storage, Dataflow, Pub/Sub, Cloud Composer (Airflow), Dataform, and Looker.
Strong experience and understanding of Build using serverless, microservices, and containerization on Google Cloud Platform/AWS/Azure.
Deep Understanding of LLMs Gemini Enterprise, Design workflows for Vertex AI and RAG, tool calling, vector databases, and multi-step agentic.
Experience on CI/CD for models and prompts, model registries, drift detection, and production monitoring.
Development expertise on Python, Java, Nodejs, Git, Linux/CLI utilities, and standard AI frameworks such as PyTorch or TensorFlow.
Should have knowledge and experience on Token management and AI guardrails.
Translate executive goals into technical roadmaps.
Lead engineering teams, manage stakeholder expectations, and outline non-functional requirements.
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