Azure Cloud AI Technical Architect

We are seeking a highly skilled and experienced Azure Technical Architect with hands‑on experience in Microsoft Azure. The ideal candidate should possess excellent inter‑company communication skills, demonstrated experience in designing and implementing complex Azure‑based solutions, and a solid understanding of AI platforms including Microsoft AI, Cerebras, Fluid Stack, and AMD‑based architectures.

• Design, implement, and maintain end‑to‑end Azure solutions across various Azure services.
• Continuously assess the health of Azure services and infrastructure using Azure Service Health, Resource Health, and Azure Monitor.
• Proactively identify potential issues and outages, minimizing downtime and ensuring service reliability.
• Analyze performance metrics across compute, storage, network, and application layers to identify bottlenecks and recommend tuning strategies.
• Translate complex business requirements into scalable, secure, and reliable Azure architecture designs.
• Architect and lead complex application modernization journeys, including decomposition of legacy .NET apps into scalable, secure, and cost‑effective microservices on Azure.
• Design end‑to‑end migration solutions for complex multi‑tier enterprise workloads, ensuring minimal business disruption and maximizing return on cloud investment.
• Evaluate application portfolios and provide strategic recommendations on migration paths such as rehost, lift‑and‑shift, refactor, rearchitect to microservices, or rebuild.
• Act as a technical advisor to internal and external stakeholders.
• Drive cloud adoption strategies and lead Azure cloud migration and modernization initiatives.
• Collaborate with development, Dev Ops, AI/ML, and security teams to ensure optimal cloud architecture and deployment practices.
• Provide architectural governance and ensure compliance with best practices, standards, and security policies.
• Produce high‑quality documentation, architecture diagrams, and solution blueprints.
• Guide and mentor technical teams and conduct architectural reviews.
• Stay current on the latest developments in Azure services and AI technologies.

• 12+ years overall experience, with 6+ years in Azure Cloud and 2+ years in AI.
• Microsoft Certified Azure Solutions Architect Expert certification (required).
• Strong understanding of cloud architecture, networking, security, and automation.
• Demonstrated experience with AI/ML solutions and integrations.
• Excellent written and verbal communication skills.
• Strong problem‑solving skills and ability to work independently and as part of a team.
• Ability to collaborate across multiple business units and technical teams.
• Strong presentation and documentation skills.
• Experience working in multi‑cloud or hybrid cloud environments.
• Expert industry experience in Financial Services, IT Services, Cloud Consulting, etc.
• High level of curiosity and adaptability to new technologies.

• Core Azure Infrastructure
  • Virtual Machines, Virtual Desktop, Virtual Network, Application Gateway, VPN Gateway, Express Route, Virtual WAN, Network Security Groups, Azure Firewall, Private Endpoints, Private DNS, Load Balancing, Frontdoor, Citrix Net Scaler.
• Azure Storage Solutions
  • Blob Storage, Files, Disk Storage, Storage Accounts.
• Azure Compute & Services
  • App Services, Functions, Kubernetes Service, Container Instances, Service Fabric, API Management, Logic Apps, SQL MI, Azure Monitor, Dashboards, Log Analytics, Automation, ARM, Azure Advisor, Cost Management.
• Identity & Access
  • Azure AD, Key Vault, RBAC, PIM, Conditional Access, Defender for Cloud, Sentinel, Well‑Architected Framework, Policy, Backup, Data Security, Encryption, Terraform, Bicep, Power Shell, CLI.
• Dev Ops & CI/CD
  • Azure Dev Ops, Repos, Pipelines, Boards, Artifacts, Test Plans, SDLC.
• AI & Machine Learning
  • Azure Machine Learning, AI Bot Service, Cognitive Services, Databricks, AI Search, OpenAI, etc.