Senior AI Platform Engineer (Healthcare)

Assured; New York (NY); On-site; USD 150,000 - 190,000; Full time

Benefits offered by this job

Equity

Health insurance

Office lunch

Stock options

Job summary

Assured is seeking a Software Engineer to architect, build, and productize AI/ML infrastructure for healthcare provider operations. You’ll bridge research, product, customers, and engineering, driving AI adoption from strategy through production at scale.

This early‑stage environment rewards ownership of end-to-end projects, with impact on credentialing, enrollment, and payer workflows. You’ll design modular architectures, build a workflow engine, and collaborate across product, engineering, and

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.

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.
• Lead the design and deployment of AI-powered digital workers — LLM- and rules-driven agents that perform operational workflows end-to-end.

Skills

Distributed systems

Architecture ownership

Cloud architecture

Communication skills

Job description

Assured is seeking a Software Engineer to architect, build, and productize AI/ML infrastructure for healthcare provider operations. You’ll bridge research, product, customers, and engineering, driving AI adoption from strategy through production at scale.

This early‑stage environment rewards ownership of end-to-end projects, with impact on credentialing, enrollment, and payer workflows. You’ll design modular architectures, build a workflow engine, and collaborate across product, engineering, and