Lead ML Architect (Google Cloud)

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Description

Project description: Join a strategic cloud and AI transformation program focused on building enterprise-scale Machine Learning platforms on Google Cloud. As a Lead ML Architect, you will define the target architecture for advanced ML and MLOps ecosystems, enabling Data Science, Data Engineering and Cloud teams to develop, deploy and operate Machine Learning solutions efficiently and securely. You will play a key role in shaping architecture standards and best practices around Vertex AI and Gemini Enterprise Agent Platform Pipelines, supporting multiple business domains and data products. Working closely with enterprise stakeholders, you will translate business and technical requirements into scalable platform solutions and provide architectural leadership throughout implementation. This role combines customer-facing consulting, architecture ownership and deep technical expertise in modern Machine Learning platforms. Tech stack: Google Cloud Platform (GCP) Vertex AI Gemini Enterprise Agent Platform Pipelines BigQuery Cloud Storage, Cloud Composer Dataflow Kubernetes (GKE), Terraform, CI/CD Python MLOps IAM Model Registry Monitoring & Observability Requirements Proven experience designing and delivering production-grade ML and MLOps platforms in enterprise environments Deep hands-on expertise with Google Cloud Platform (GCP) Strong production experience with Vertex AI and Gemini Enterprise Agent Platform Pipelines Proven ability to design end-to-end ML lifecycle architectures

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