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.
About the job
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
Python, React, Next.js, TypeScript, RAG, LLMs, AI/ML, FHIR, Hl7, Ehr
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