Forward Deployed Engineer

Notable•San Mateo, CA

11d•Hybrid

About The Position

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. Role Summary: As a Forward Deployed Engineer, you will partner directly with customers to understand their biggest challenges and rapidly design, implement, and integrate technical solutions that drive real impact. This role blends problem-solving, creativity, and hands-on engineering as you help deploy products and workflows in live environments. You’ll gain unique exposure to critical industries and institutions across the country and play a key role in shaping how they operate and innovate. Our ideal candidate is technically curious, an excellent communicator, and deeply committed to customer success. They thrive in collaborative environments working seamlessly with both technical and non-technical partners and are comfortable operating in a fast-moving setting with evolving goals and continuous user feedback.

Requirements

5+ years of experience in Forward Deployed, Solutions, or Implementation Engineering roles with significant client-facing responsibility.
Proficiency in TypeScript/Node.js for backend development and scripting.
Experience with APIs (REST, gRPC), event-driven architectures, and cloud infrastructure (AWS/GCP/Azure).
Practical experience building with LLMs , including prompting, RAG, vector databases, and evaluation frameworks.
Ability to communicate technical concepts to a variety of audiences, from technical/IT teams to operational executives.

Nice To Haves

Familiarity with healthcare data standards (HL7, FHIR, C-CDA) and workflows (Revenue Cycle, Access) is preferred.

Responsibilities

Technical Solution Design & Architecture: Leverage engineering expertise to design scalable AI workflows for clinical and operational use cases. You will produce professional-grade systems and data-flow diagrams to define interfaces, failure modes, and integration points with EHRs and legacy systems.
Build & Deploy AI Agents: You will get hands-on to configure and deploy Large Language Model (LLM) powered workflows. This involves applying advanced prompting strategies, building agentic workflows, and tuning vector stores for quality, latency, and cost.
Security & Compliance Assurance: Perform technical validation of AI algorithm outputs and ensure strict adherence to HIPAA/SOC 2 controls. You will establish guardrails (audit trails, least-privilege access) to ensure safe clinical deployment.
Execute & Operationalize: Independently manage technical implementation plans, defining scope and setting expectations with customers. You will drive "scrappy-but-safe" prototypes into production and facilitate the transition to steady-state ownership alongside Customer Success teams.
Stakeholder Engagement: Serve as the technical voice in customer meetings, translating complex platform capabilities into clear value propositions for executives and non-technical stakeholders.
Drive Product Improvement: Provide input to internal cross-functional teams on platform gaps, identifying which capabilities are harder to deploy and helping to widen the competitive advantage.

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