Architect and develop backend systems, APIs, tools, and agents that integrate foundational AI models into scalable business solutions. Build AI workflows, automation, data pipelines, experimentation frameworks, and integrations across AWS, Snowflake, microservices, and complex technology stacks. Collaborate with product, data science, and frontend teams to prototype and deploy AI capabilities while evaluating emerging frameworks, documenting designs, and considering reliability, privacy, and responsible AI.

Lead end-to-end data science initiatives including designing, deploying, and monitoring production ML models for credit risk, pricing, collections, and fraud. Partner cross-functionally to integrate models, set development standards, mentor team members, and maintain production pipelines and monitoring systems to drive measurable business impact.