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Senior, niche GenAI architect with metro locations and recognizable employer creates moderate competition.
Deep GenAI architecture, Azure, and enterprise architecture requirements make background highly specific and less transferable.
Explicit 15+ years, mandatory Azure and hands-on GenAI architecture elevate shortlisting strictness.
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Lead design, development, and governance of enterprise-grade analytics, AI, and GenAI platforms and solutions with a focus on reusable architectures and operational sustainability.
Drive architecture decisions across cloud-native applications, APIs, data platforms, and AI model lifecycle management ensuring compliance with responsible AI, security, and privacy controls.
Provide leadership across multiple initiatives including mentoring teams, supporting client discussions, solution sizing, and enabling adoption of modern AI technologies across domains.
15+ years industry experience with at least 5 years as lead architect in cloud-native analytics and AI/GenAI solutions.
Hands-on Azure expertise including services like App Service, Azure Functions, AKS, Azure AI Foundry, and related cloud components.
Experience delivering production GenAI solutions with capability in prompt frameworks, RAG, AI orchestration, model governance, and security integration.
BS or Master's degree in Computer Science, Software Engineering, Data Science, or a related technical field.
Proven ability to lead complex multi-disciplinary technical initiatives and architect modern data platforms including data lake, lakehouse, and governance solutions.
Experienced in full stack development in Python and cloud containerization with strong operational knowledge of on-premises and cloud infrastructure dependencies.
Capable of making independent, sound architectural decisions and driving cross-team collaboration with strong written and verbal communication skills.