Join Microsoft's Industry Solutions Delivery organization as an Infrastructure & AI Architect, a role focused on designing secure, scalable, and resilient enterprise platforms on Microsoft Azure. You will be instrumental in guiding customers through their digital and AI transformation journeys.

This position offers the chance to work with cutting-edge Microsoft Cloud and AI solutions, contributing to innovations that impact billions. We foster a growth mindset, prioritize empowerment, and cultivate an inclusive culture where diverse perspectives are valued.

As part of a global team, you'll collaborate with strategic sellers, industry experts, data scientists, and delivery specialists to create industry-specific solutions for Microsoft's most significant clients worldwide.

Architect secure, scalable, and AI-ready enterprise platforms on Microsoft Azure.

Collaborate with customers, engineering, security, and delivery teams to translate requirements into robust Azure architectures, integrating strong Azure infrastructure with modern AI, security, governance, automation, and operational design.

Provide technical leadership from initial discovery through implementation, governance, and operational readiness.

Design and implement Azure infrastructure, including networking, identity, security, monitoring, and AI services, ensuring alignment with enterprise security and compliance standards.

Possess a Bachelor's degree in Computer Science, IT, Engineering, or a related field, coupled with a minimum of 14 years of experience in technology solutions, practice development, architecture, consulting, or the Infra & AI domain. Alternatively, a Master's degree in a related field with 14+ years of relevant experience is acceptable.

Demonstrate deep expertise in Azure infrastructure architecture, including Azure Landing Zones, hub-and-spoke models, hybrid connectivity, and comprehensive Azure networking components.

Proficiency in identity and security solutions such as Microsoft Entra ID, Azure RBAC, Defender for Cloud, Sentinel, and Zero Trust principles is essential.

Experience designing and implementing enterprise AI platforms using Azure AI services, including Generative AI, AI agents, and RAG architecture, is required.

Skills in infrastructure automation using Bicep, ARM templates, or Terraform, along with CI/CD and DevOps practices, are critical.