GCP AI Architect

GyanSys Inc.

Bengaluru

On-site

INR 4,500,000 - 6,500,000

Full time

12 days ago
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Job summary

GyanSys Inc. in Bengaluru seeks a 10+ years experienced GCP AI Cloud Architect to design, implement, and govern enterprise-scale cloud and AI solutions on Google Cloud Platform.

The role requires deep expertise in GCP services, Vertex AI, Gemini, Generative AI, MLOps, multi-cloud, Terraform, Kubernetes, CI/CD, and cloud security. You will lead migrations, architect scalable AI platforms, optimize costs, and collaborate across teams to deliver enterprise AI solutions.

Qualifications

  • 10+ years of cloud and AI architecture experience on Google Cloud Platform.
  • Deep expertise in GCP services and Vertex AI.
  • Experience with multi-cloud environments and cloud governance.

Responsibilities

  • Lead cloud migration and modernization initiatives.
  • Architect scalable, secure AI platforms and govern them.
  • Collaborate with cross-functional teams to deliver enterprise AI solutions.
  • Optimize cloud costs and enforce best practices across projects.

Skills

Cloud architecture
Leadership
Strategic thinking

Tools

Compute Engine
GKE
Cloud Run
BigQuery
Cloud Storage
Pub/Sub
Dataflow
Vertex AI
Gemini
Generative AI
RAG
MLOps
Kubernetes
Terraform
CI/CD
DevSecOps
Networking
IAM
Cloud security

Job description

10+ years experienced GCP AI Cloud Architect to design, implement, and govern enterprise-scale cloud and AI solutions on Google Cloud Platform.

The ideal candidate should have strong expertise in GCP services (Compute Engine, GKE, Cloud Run, BigQuery, Cloud Storage, Pub/Sub, Dataflow), Vertex AI, Gemini, Generative AI, RAG, MLOps, cloud-native architecture, microservices, Kubernetes, Terraform, CI/CD, DevSecOps, networking, IAM, and cloud security.

The role involves leading cloud migration and modernization initiatives, architecting scalable and secure AI platforms, optimizing cloud costs, establishing governance and best practices, and collaborating with cross-functional teams to deliver enterprise AI solutions.

Experience with Python/Java, API integration, FinOps, multi-cloud environments, and Google Professional Cloud Architect certification is preferred.

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