Software Engineer Architect – AI Agents (Healthcare)
Core
Architecting and scaling AI agents platform for automating patient access workflows (benefits verification, prior authorization, referral intake) in U.S. healthcare.
Role type
Senior Software Engineer Architect (AI Agents)
Builds
AI agents platform integrating LLMs, voice agents, and operational infrastructure for healthcare payers and care teams
Domain
Healthcare technology, AI/LLM agents, distributed systems
Deliverable
production ML models | infrastructure
Required skills
distributed systems architecture, backend systems design, reliability engineering, cloud-native infrastructure, Kubernetes, Python or Go, AI/LLM system integration, security design
Preferred skills
voice AI/telephony, healthcare domain knowledge (HIPAA, EMR, FHIR), LLM evaluation frameworks, team scaling
Technologies
Kubernetes (GKE), Python, Go, React, GCP/AWS/Azure
Responsibilities
Own end-to-end architecture of AI agents platform including services, APIs, data models, and agent orchestration; Design for reliability, latency, and safety with fault tolerance and observability; Set architecture for multi-tenancy, data isolation, and PHI handling; Make high-leverage technical decisions on build vs buy and technology choices; Prototype critical paths and write production code on high-risk problems; Partner on Kubernetes infrastructure for autoscaling and SLOs; Mentor senior engineers and define engineering standards; Translate product needs into technical roadmap; De-risk scale for increased call volume and customers
Seniority
Senior, hands-on IC with architectural leadership