Define the architecture for intelligent, enterprise‑grade applications and platforms with AI built into the core design rather than added as an afterthought.
Shape end‑to‑end solutions across application services, integration layers, data architecture, event‑driven systems, security, and AI/ML components. That includes designing patterns for model integration, batch and real‑time inference, feature and data pipelines, vector search, LLM orchestration, agent frameworks, evaluation services, and responsible AI controls.
Guide teams on scalability, resilience, interoperability, observability, privacy, and compliance, and ensure architecture choices support both near‑term delivery and long‑term platform evolution.
Influence how quickly engineering teams can build, govern, and scale AI‑enabled capabilities across products and customer scenarios.