AI Platform Architect

Notable is the leading healthcare AI platform for transforming workforce productivity. Health systems, hospitals, and payers use Notable to improve healthcare quality, close gaps in patient care, drive member enrollment, and patient acquisition, retention, and reimbursement, scaling growth without hiring more staff.

We are on a mission to improve the lives of patients, staff, and clinicians - to improve healthcare for humanity. This isn't just a lofty goal - it's something we're achieving every single day. When you join Notable, you become part of a force actively transforming healthcare. Our aim to impact 100 million patients isn't just a number; it's a commitment to creating meaningful change on a massive scale.

Therefore, our culture is purposeful in pursuit of this mission. We believe our culture gives each person the opportunity to do the best work of their lives, work with the best teammates, and have fun achieving great things together.

The AI Platform Architect plays a critical role in designing, scoping, and implementing complex healthcare AI workflows on the Notable platform.

This role sits at the intersection of healthcare operations, AI workflow design, data architecture, enterprise integration/implementation, data orchestration, and change management. You will partner closely with clients and internal cross-functional teams to translate operational challenges into scalable AI‑driven solutions.

You will be responsible for designing and architecting end‑to‑end AI flows that leverage multiple healthcare data models — including structured, semi‑structured, and unstructured data — while ensuring workflows are secure, reliable, scalable
, and aligned with real‑world clinical and administrative processes.

Notable’s AI Platform Architects are responsible for flow discovery, design, and architecture: gathering customer requirements, validating scope with an eye toward speed-to-value, building and configuring flows in Flow Builder, partnering with integrations to build required connections, internal and external testing, and training customers on using the platform and facilitating change management. At Notable, we are setting the bar for this emerging industry role.

Our architects are problem solvers with a strong analytical mindset and a passion for partnering with healthcare leaders to drive business transformation. They demonstrate a deep understanding of both the healthcare industry and the Flow Builder platform, as well as using AI frameworks to balance efficiency, scalability, and value, and they translate technical concepts to non‑technical audiences while leveraging LLMs to create workflow efficiencies.

• Design, scope, and architect end‑to‑end healthcare AI workflows utilizing the Notable platform and Flow Builder.

• Translate business and operational requirements into scalable AI flow architectures that are grounded in customer context and Notable best practices.

• Build intelligent automation flows that incorporate:

  • AI orchestration across sub‑flows and agents

  • Decision logic and routing based on clinical and operational rules

  • Data transformation across heterogeneous healthcare data models

  • Human‑in‑the‑loop workflows for exception handling, QA, and escalation

• Define and standardize workflow patterns that balance automation, accuracy, safety, and compliance.

• Recommend flow design choices based on patterns from similar organizations and clearly tie those recommendations to expected impact and measurable outcomes.

• Socialize designs with key customer decision‑makers and internal stakeholders to ensure alignment, safety, and adherence to Notable’s best practices.

• Architect solutions that leverage multiple healthcare data models, including:

  • HL7

  • EHR‑native data objects (e.g., Cerner/Oracle Millennium, Epic)

  • API‑based and event‑driven integrations (REST, webhooks, messaging, FHIR)

• Design workflows that operate across:

  • Structured data (demographics, orders, encounters, appointments, coverage)

  • Semi‑structured data (forms, questionnaires, intake packets)

  • Unstructured data (documents, faxes, clinical notes, pathology…