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This role requires deep expertise in software architecture, AI application development, cloud engineering, and modern software development practices. You will define technical strategy, establish engineering standards, and guide teams in building scalable, secure, and maintainable solutions across Azure and multi-cloud environments.\n\nKey Responsibilities:\n\n- Own end-to-end solution architecture, technical design, and implementation strategy for AI-driven applications and enterprise platforms.\n\n- Design and develop AI-enabled workflows, agentic applications, and integrations using the Model Context Protocol (MCP).\n\n- Define architecture patterns for tool integration, context management, API orchestration, and AI-to-enterprise system interactions.\n\n- Lead cloud architecture and implementation initiatives on Microsoft Azure, with support for GCP environments.\n\n- Establish best practices for security, scalability, reliability, observability, and maintainability.\n\n- Evaluate technology choices, architectural trade-offs, and build-versus-buy decisions.\n\n- Conduct architecture reviews, mentor engineering teams, and provide 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