Own client AI engagements end to end, from shaping technical roadmaps and architectures to deploying production systems, setting MLOps standards, mentoring engineers, and advancing the engineering practice.
Build and deploy production AI workflows and agents in clientsβ real-world environments, translating ambiguous business needs into tailored systems while shaping platform improvements and leading technical client relationships.
Own the end-to-end architecture and delivery of production-grade AI systems, lead technical decisions with client stakeholders, and coach engineers while applying emerging AI technologies.