Enterprise Architect - Cloud & AI Systems

Industry Agentic Systems-Q4-26

• Deep expertise in software architecture, cloud platforms, data and integration architecture, and AI systems design. • Strong knowledge of emerging technology domains. • Ability to balance strategic architectural thinking with hands-on technical problem solving. ________________________________________ Architecture & Design Responsibilities • Lead the design of secure, scalable, high-performance systems for enterprise applications and AI platforms. • Define and govern architecture best practices, standards, NFR frameworks, and design principles. • Conduct architecture reviews, approve critical design decisions, and ensure alignment with enterprise architecture vision. • Certifications such as TOGAF, AWS/Azure/GCP Architect, AI/ML certifications • Experience building platform engineering capabilities, developer velocity accelerators, or internal engineering platforms. Core Experience • 8+ years of IT experience with deep expertise in enterprise architecture, solution architecture, and technology consulting. • Hands on expertise in modern programming languages: Java/Spring Boot, Python, .NET, Node.js. • Strong command of microservices, API-first design, event-driven architecture, and distributed system principles. • Experience with major cloud platforms (AWS, Azure, GCP), containerization (Docker, Kubernetes), and CI/CD pipelines. • Proven experience delivering AI/GenAI and Agentic AI solutions at scale. • Strong ability to lead distributed teams, manage complex engineering programs, and influence executive stakeholders