Forward Deployed Engineer - Healthcare
AI summary of the role
Forward Deployed Engineer focused on deploying enterprise-grade AI solutions (RAG pipelines, LLM workflows) for strategic healthcare accounts, particularly in payer/provider sectors.
What you’ll do
- Optimize and support solutions within strategic healthcare accounts on the StackAI platform
- Design and deploy AI workflows for claims processing, prior authorization, clinical documentation, patient operations, and knowledge retrieval
- Support integrations with EHRs, healthcare data systems, APIs, and enterprise tools
- Contribute to the StackAI codebase across Python backend and React/Next.js TypeScript frontend
What you’ll bring
- 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 payer/provider space with EHR integrations, claims workflows, revenue cycle, or operations
- Familiarity with handling PHI and sensitive healthcare data in production environments
Technologies
RAG · LLM · Python · React · Next.js · TypeScript · FHIR · HL7 · X12 · EDI · Epic · Cerner
Source and classification
Implementation & delivery · Evidence for this classification:
About the role We’re seeking an experienced engineer to deploy enterprise-grade AI solutions, focusing on Retrieval-Augmented Generation (RAG) pipelines and large language model (LLM) workflows. This role is vital to expanding our reach with strategic healthcare accounts, especially across provider, payer, and adjacent healthcare sectors. Experience with healthcare enterprise accounts, especially in payer/provider environments, including EHR integrations, claims workflows, and working with PHI securely. Life sciences or medical device experience is a plus. Role Overview You will integrate large language models into healthcare enterprise operations, working with strategic accounts to align solutions and technical approaches. Using the StackAI platform, you’ll partner with clients to co-design solutions for operational and clinical-adjacent workflows. We’re looking for someone with
More from the job description
About the role We’re seeking an experienced engineer to deploy enterprise-grade AI solutions, focusing on Retrieval-Augmented Generation (RAG) pipelines and large language model (LLM) workflows. This role is vital to expanding our reach with strategic healthcare accounts, especially across provider, payer, and adjacent healthcare sectors. Experience with healthcare enterprise accounts, especially in payer/provider environments, including EHR integrations, claims workflows, and working with PHI securely. Life sciences or medical device experience is a plus. Role Overview You will integrate large language models into healthcare enterprise operations, working with strategic accounts to align solutions and technical approaches. Using the StackAI platform, you’ll partner with clients to co-design solutions for operational and clinical-adjacent workflows. We’re looking for someone with experience in the payer/provider space, including EHR integrations, claims processing, and working with PHI securely. Experience in life sciences or medical devices is a strong plus, especially in workflows such as CAPA, complaints, quality, and regulatory operations. 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 requireme [... source excerpt omitted ...] 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 S [... source excerpt omitted ...] yer/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 platform
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