Job Description Lead the engineering discipline organized into multiple pods/squads. Provide architectural guidance on modular monolith patterns, bounded contexts, integration points, and performance/scalability concerns. Understand and guide the evolution of the complex system and adjustment logic implemented in Microsoft tech-stack like .NET, Angular, Azure, etc. Work closely with AI Strategists and AI Architects to build new AI capabilities for our consumers. Champion the pragmatic use of AI tools (e.g., Copilot, Cursor) for developer productivity while maintaining quality standards We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/. Skills and Requirements 8+ years of professional software development experience, with ideally 5+ years in technical leadership roles (e.g. Development Manager, Engineering Manager) with the appropriate tech stack in an enterprise environment. Deep hands-on experience in Microsoft tech stack development across .NET backend, APIs, databases, SPA frontend frameworks and cloud platforms. Event-driven architecture with MassTransit, Azure Service Bus, Azure EventHubs. Experience with AI engineering: agent frameworks/orchestration (planners/tool-calling, multi-agent routing), prompt design, function/tool interfaces, streaming UX. Skilled in Retrieval-Augmented Generation (RAG): document ingestion, embeddings, retrieval, grounding, evals. Working knowledge of Azure cloud services: Functions, Storage, Key Vault, App Configuration, Application Insights, App Services, AKS/Container Apps, API management.