Sr Consultant - Infra

Microsoft Microsoft · Big Tech · IN · Technology Consulting

Sr. Consultant focused on designing, building, and optimizing cloud and on-premises infrastructure solutions, with a specific emphasis on AI workloads. This role requires expertise in Azure AI Services, integrating frontier models, and managing AI developer tools as infrastructure components. The consultant will ensure secure, scalable, and high-performing environments for AI applications.

What you'd actually do

  1. As a full Stack Infrastructure Consultant, design, build, and optimize endtoend cloud and onpremises infrastructure solutions, ensuring secure, scalable, and highperforming environments across the entire technology stack.
  2. Responsible for technical quality assurance, identification, and mitigation of technical risk across customer or partner deliverables delivery technology strategy aligned solutions
  3. Applies technical experience and industry-specific knowledge to develop solutions, based on an analysis of how the proposed approach affects the business objectives of customers and partners.
  4. Applies information-compliance and assurance policies to ensure stakeholder confidence.
  5. Identifies new processes and innovations to help customers or partners build and accelerate capabilities by using Microsoft technologies.

Skills

Required

  • 10+ years of industry experience
  • 3+ years of Azure Infrastructure experience
  • Azure Administrator certification (AZ104)
  • Python for automation, AI integration, and scripting
  • Experience with Azure AI Services (AI Foundry, AI Agent services, Azure AI Search, Vision, Speech, Translation,)
  • Understanding of containerized AI workloads
  • Hands-on expertise in AI Developer Tools from Microsoft (Visual Studio, GitHub Copilot, Azure AI Studio, Azure AI Foundry or similar)
  • Ability to integrate OpenAI/Frontier models into cloud environments
  • Microsoft’s Cloud Adoption Framework (CAF)
  • Designing, implementing, and deploying Azure Landing Zones
  • Azure IaaS and PaaS services
  • Deploying business mission-critical applications on Azure
  • Azure networking components (VNet, ExpressRoute, vWAN, ingress/egress patterns, NVAs)
  • Azure DevOps
  • CI/CD platform (GitHub, GitLab, or Jenkins)
  • ARM templates, Bicep, Terraform, PowerShell, Azure CLI
  • Multi-Cloud Migration experience (AWS or GCP to Azure)
  • Azure Migrate
  • Container migration and modernization
  • Network segmentation, NSGs, Azure Firewall, Private Link, VPN/ExpressRoute security, Zero Trust networking
  • Azure Policy, Blueprints, governance guardrails
  • Meeting compliance standards and performing cloud security assessments

Nice to have

  • Azure Solutions Architect Expert (AZ305)
  • Terraform Associate certification
  • Cloud AI certification (Microsoft Azure AI Fundamentals (AI‑900) or equivalent)
  • Working knowledge of other CI/CD platforms

What the JD emphasized

  • minimum of 3+ years of Azure Infrastructure experience
  • Mandatory Microsoft Azure Administrator certification (AZ104)
  • Proficiency in Python for automation, AI integration, and scripting across infra workflows
  • Experience with Azure AI Services (AI Foundry, AI Agent services, Azure AI Search, Vision, Speech, Translation,) leveraged as infrastructure components for applications
  • Understanding of containerized AI workloads with strong hands-on expertise in AI Developer Tools from Microsoft- Visual Studio, GitHub Copilot, Azure AI Studio, Azure AI Foundry or similar third-party
  • Ability to integrate OpenAI/Frontier models into cloud environments with secure and scalable infrastructure patterns (from applied AI delivery examples)

Other signals

  • design, build, and optimize endtoend cloud and onpremises infrastructure solutions
  • AI First Infrastructure Skills
  • Experience with Azure AI Services (AI Foundry, AI Agent services, Azure AI Search, Vision, Speech, Translation,) leveraged as infrastructure components for applications
  • Ability to integrate OpenAI/Frontier models into cloud environments with secure and scalable infrastructure patterns