Staff Fullstack Architect for AI-Driven Infrastructure

assured-health; New York (NY); On-site; USD 140,000 - 200,000; Full time

Job summary

Assured is seeking a Software Engineer to architect, build, and productize AI/ML infrastructure, bridging research, product, customers, and engineering to drive AI adoption at scale.

This role thrives in an early-stage environment, with ownership from strategy through production. You will shape modular architectures, workflow orchestration, and integration with thousands of external systems, contributing to modern healthcare infrastructure from New York City.

Qualifications

• 5+ years experience building and scaling complex, distributed systems or workflow-heavy SaaS platforms.
• Proven ability to own architecture and make high-stakes technical decisions in ambiguous, high-growth environments.
• Deep understanding of modern cloud architecture and full software stacks.
• Excellent communication — able to clearly explain technical trade-offs to technical and non-technical audiences alike.
• Experience with workflow orchestration frameworks or event-driven architectures.
• Contributions to open-source projects, publications, or active technical presence.

Responsibilities

• Design and evolve a modular, service-oriented architecture to power configurable healthcare workflows at scale.
• Build a workflow orchestration engine capable of handling thousands of concurrent stateful tasks (credentialing, verification, enrollment).
• Define and optimize integration frameworks to connect with thousands of external systems — web portals, APIs, PDFs, spreadsheets.
• Drive reliability, auditability, and performance through observability, self-healing, and clear fault-domain boundaries.

Skills

Distributed systems

Architecture ownership

Cloud architecture

Communication skills

Workflow orchestration

Open source contributions

Job description

Assured is seeking a Software Engineer to architect, build, and productize AI/ML infrastructure, bridging research, product, customers, and engineering to drive AI adoption at scale.

This role thrives in an early-stage environment, with ownership from strategy through production. You will shape modular architectures, workflow orchestration, and integration with thousands of external systems, contributing to modern healthcare infrastructure from New York City.