GenAI Architect

About the role

We are seeking an experienced GenAI Architect to design and lead the development of large-scale, cloud-native Generative AI platforms and solutions. This role requires deep architectural expertise in Azure, secure API-driven systems, and event-driven architectures, combined with the ability to translate business needs into scalable, production-ready GenAI systems.

Responsibilities

• Arcitect and design cloud-native, scalable GenAI platforms leveraging Microsoft Azure services
• Define end-to-end system architectures integrating GenAI components with enterprise applications
• Design and govern API-first architectures, including REST/GraphQL APIs, service contracts, and integration patterns
• Implement security-by-design principles, including identity and access management, network security, data protection, and compliance standards
• Design and optimize event-driven architectures using messaging, streaming, and asynchronous processing patterns
• Lead architectural decisions around scalability, performance, reliability, and cost optimization
• Collaborate closely with engineering, data, AI, and platform teams to ensure successful implementation of architectural designs
• Provide technical leadership, mentorship, and architectural guidance across teams
• Establish best practices, standards, and reference architectures for GenAI solutions
• Review and approve solution designs to ensure alignment with enterprise and cloud architecture standards

Requirements

• 12+ years of overall experience in software engineering and solution/enterprise architecture roles
• Strong experience designing cloud-native architectures on Microsoft Azure
• Experience architecting or supporting Generative AI or AI/ML platforms
• Experience with Azure AI services, Azure OpenAI, or AI orchestration platforms
• Experience with DevOps and cloud-native deployment patterns (CI/CD, IaC)
• Proven expertise in building scalable, distributed systems using microservices and container-based architectures
• Deep understanding of API design and integration patterns, including security and governance
• Hands-on experience designing event-driven systems using queues, topics, or streaming platforms
• Excellent ability to translate business requirements into robust technical architectures