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Tier-1 metro role but senior and AI-Azure specialization limits qualified applicants.
Strong Azure, .NET/Java and AI production requirements favor cloud/AI architecture backgrounds across industries.
Explicit 15+ years, mandatory production LLM experience, and specific Azure architecture requirements enforce strict filtering.
Define and own the technical strategy and architecture for large-scale, cloud-native .NET/Java systems on Azure, embedding AI/ML as a core design element.
Set engineering standards including CI/CD, observability, testing, IaC, and AI model lifecycle management across the organization.
Mentor senior engineers and serve as the final technical authority for complex design challenges and cross-system dependencies.
15+ years in software engineering with at least 5 years in technical or architectural leadership roles.
Degree in Computer Science, Engineering, or equivalent.
Mastery of Java or .NET stack with deep hands-on Azure experience (App Services, Functions, Service Bus, Event Hubs, Azure SQL, Cosmos DB, etc.).
Mandatory production experience integrating LLMs, semantic search, or agentic AI workflows in enterprise systems.
Engineering leader with proven ability to drive AI-native architecture and elevate engineering standards in large cloud-native environments.
Experienced working with senior business and C-suite stakeholders to translate strategic objectives into executable technology architecture.
Background in insurance, fintech, or banking domains is a plus but not mandatory.