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StackAIStackAINew York, NY

Forward Deployed Engineer - Healthcare

Deploys AI solutions like RAG pipelines and LLM workflows for healthcare enterprises, integrating with EHRs and handling PHI securely. Collaborates with payer/provider clients, contributes to Python/React codebase, and supports go-to-market strategy. Requires 3+ years in solutions engineering or AI with healthcare experience.

120k – 200k/yr
Hybrid3+ YOESolutions Architecture

About the role

Responsibilities

  • Optimize and support solutions within strategic healthcare accounts on the StackAI platform
  • Work directly with payer, provider, and healthcare customers to understand workflows, systems, and implementation requirements
  • Design and deploy AI workflows for use cases such as claims processing, prior authorization, clinical documentation, patient operations, and knowledge retrieval
  • Support integrations with EHRs, healthcare data systems, APIs, and enterprise tools
  • Help customers build solutions that account for PHI, HIPAA, access controls, and auditability requirements
  • Map requirements and relationships within target customer organizations
  • Pursue opportunities and provide feedback on go-to-market strategy for healthcare accounts
  • Contribute directly to the StackAI codebase, translating customer feedback into platform improvements across the Python backend and React/Next.js TypeScript frontend
  • Write proposals, pitch stakeholders, and lead product demos
  • Evangelize StackAI at enterprise events and customer meetings

Requirements

  • 3+ years of experience in data science, software development, solutions engineering, or generative AI
  • Experience working with strategic enterprise accounts, preferably in healthcare
  • Experience in the payer/provider space, especially with EHR integrations, claims workflows, revenue cycle, or payer/provider operations
  • Familiarity with handling PHI and sensitive healthcare data in production environments
  • Experience with strategic enterprise accounts, preferably Fortune 500
  • Expertise in AI/ML, RAG pipelines, LLM workflows, and enterprise data analytics
  • Strong communication skills and ability to work across technical and business stakeholders
  • Eagerness to build in a fast-paced environment
  • Ability to travel 10–20% of the time

Preferred Qualifications

  • Experience with healthcare interoperability standards such as FHIR, HL7, X12, or EDI
  • Experience with provider or payer platforms such as Epic, Cerner, athenahealth, or similar systems
  • Background in life sciences or medical devices
  • Familiarity with workflows such as CAPA, complaint handling, quality systems, or regulatory documentation

Skills

PythonReactNext.jsTypeScriptRAGLLMsAI/MLFHIRhl7ehr
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