Teams at Amigo

Design and own platform-level systems that power reliable, safe AI agents in healthcare. Define architecture and standards, solve ambiguous reliability/performance/data problems end-to-end, make build vs buy decisions, and mentor senior engineers while ensuring systems operate robustly in production.

Lead end-to-end technical delivery of AI deployments for healthcare customers: set architecture, decompose ambiguous problems into deliverable work, own timelines and tradeoffs, mentor engineers, and work directly with customers to ensure production-quality LLM and agent-based systems. On-site in New York City.

Lead and scale the Applied AI and deployment teams that implement LLM-based agent systems for healthcare customers. Own hiring, team development, deployment playbooks, reference architectures, customer outcomes, and cross-functional partnership with product and growth to ensure adoption, quality, and expansion inside health systems.