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Cloud Architect- Gen AI

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Hybrid

Cloud Architect- Gen AI

AMS

Cloud Architect- Gen AI

Skills

Google Cloud PlatformPythonDevOpsJenkinsGrafanaSplunkAIAnsibleGitHubCloud ArchitectTerraformAzure

2 months ago

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Important information


Contract type:

Permanent

Salary:

₹3,000,000 – ₹3,250,000 / year

Location:

Bengaluru, Karnataka, India

Work mode:

Hybrid

Published on:

25 August 2026

What they need


Job Summary

We are looking for a Cloud & AI Infrastructure Architect with strong hands-on expertise in Azure / GCP and Generative AI platforms. The role involves designing scalable cloud architectures, building AI-ready infrastructure, and developing POCs using GenAI & Agentic AI frameworks.

Key Responsibilities

  • Architect and design secure, scalable cloud infrastructure solutions across Azure and GCP
  • Build and deploy AI-ready cloud platforms supporting GenAI and Agent-based solutions
  • Develop POCs using Python with Vertex AI, Azure OpenAI, or Copilot Studio
  • Implement Infrastructure as Code (IaC) using Terraform, Ansible
  • Design and manage CI/CD pipelines (GitHub, Azure DevOps, Jenkins, etc.)
  • Drive DevOps / DevSecOps best practices
  • Work on cloud migration, modernization, and multi-cloud strategies
  • Collaborate with stakeholders and deliver client presentations and advisory

Must Have Skills

  • Cloud Architecture (Azure + GCP)
  • Generative AI / LLM Exposure
  • Python Development
  • Infrastructure as Code (Terraform / Ansible)
  • DevOps (GitHub Actions, CI/CD pipelines)
  • Cloud Networking, IAM, Cost Optimization

Good to Have Skills

  • Vertex AI / Azure OpenAI / Copilot Studio
  • RAG (Retrieval Augmented Generation)
  • VMware / Datacenter Modernization
  • OpenShift / Nutanix
  • Networking & SD-WAN
  • Workplace Transformation (M365, AD migration)
  • SRE & Observability (Splunk, Grafana, Dynatrace)
  • TOGAF / Enterprise Architecture

Certifications (Preferred)

  • Azure: AZ-104, AZ-305, AZ-400
  • GCP: Professional Cloud Architect, DevOps Engineer
  • AI: AI-102, Vertex AI Engineer, GenAI Certifications
  • TOGAF (Good to have)

Education

B.Tech/M.Tech

Key Competencies

  • Strong consulting & stakeholder management skills
  • Ability to present to leadership / CXOs
  • Problem-solving mindset with innovation focus
  • Team collaboration and mentoring skills

Perks & Benefits

  • Inclusive and diverse workplace
  • Career growth and learning opportunities
  • Flexible work environment (Hybrid options)
  • Health & wellness benefits
  • Parental leaves and CSR initiatives

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