Consultant

Microsoft Microsoft · Big Tech · Hyderabad, TS, IN +2 · Technology Consulting

This role focuses on designing, building, and optimizing end-to-end cloud and on-premises infrastructure solutions, with a specific emphasis on leveraging AI services as infrastructure components for applications. The consultant will work with Azure AI Services, containerized AI workloads, and integrate OpenAI/Frontier models into cloud environments, ensuring secure and scalable infrastructure patterns. While not directly building AI models, the role is critical in providing the underlying infrastructure 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

  • Azure Infrastructure
  • Python for automation
  • Azure AI Services
  • Containerized AI workloads
  • OpenAI/Frontier models integration
  • Azure Cloud Strategy
  • Azure Landing Zones
  • Azure IaaS and PaaS services
  • Azure networking
  • Azure DevOps
  • CI/CD platform
  • ARM templates, Bicep, Terraform, PowerShell, Azure CLI
  • Multi-Cloud Migration
  • Infrastructure Security
  • Zero Trust Practices
  • Azure Policy, Blueprints, governance guardrails

Nice to have

  • Azure Solutions Architect Expert (AZ305)
  • Terraform Associate certification
  • AI Developer Tools from Microsoft
  • GitHub Copilot
  • Azure AI Studio
  • Azure AI Foundry
  • AWS or GCP to Azure migration
  • Azure Migrate
  • container migration and modernization initiatives
  • compliance standards
  • cloud security assessment

What the JD emphasized

  • minimum of 3+ years of Azure Infrastructure experience
  • Mandatory Microsoft Azure Administrator certification (AZ104)
  • Cloud AI certification such as Microsoft Azure AI Fundamentals (AI‑900) or equivalent is a strong advantage
  • 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

  • AI infrastructure components
  • AI workloads on cloud platforms
  • OpenAI/Frontier models into cloud environments