Own AI workflows end to end, designing and deploying agentic and LLM-based systems. Build reliable production pipelines with structured outputs, validation, fallbacks, observability, evaluation, and audit trails. Partner with product, backend engineering, and customers while setting AI engineering standards, selecting models, managing cost and latency, and improving workflow quality in a regulated financial environment.

Own end-to-end AI workflows, designing and operating agentic and LLM-based systems in production. Build reliable pipelines with structured outputs, validation, fallbacks, evaluations, observability, and audit trails. Integrate AI services with backend systems while managing cost, latency, data isolation, and regulated-finance requirements. Establish engineering patterns, review system designs, and mentor teams on effective use of coding agents and AI tools.