GEN AI Solution Architect- AZURE

Role & responsibilities AI Solutions Architect / Tech Lead (Azure) Owns the end-to-end solution design for AI applications on Azure. Defines architecture patterns, integration strategy, security patterns, service selection, and technical standards. Guides how the application uses Azure services such as model hosting, orchestration, data services, APIs, and observability. Ensures interoperability patterns are defined for adjacent agent ecosystems without taking ownership of those platforms. Keeps current with the evolution of Azure services and broader industry trends in AI/GenAI, and leads model/LLM evaluation and recommendation to ensure the team adopts fit-for-purpose technologies and patterns. Also embeds security, privacy, responsible AI, model risk controls, guardrails, and data handling requirements into solution architecture rather than treating them as late-stage reviews. Azure architecture, solution design, distributed systems, API integration, security-by-design, GenAI architecture patterns, retrieval-augmented generation, model orchestration, cost/performance tradeoff analysis, technical leadership, model/LLM evaluation, technology scouting and recommendation, privacy/security architecture, responsible AI controls.