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AI Architect – Healthcare Automation (LLMs | RAG | Voice AI)

AI Architect – Healthcare Automation (LLMs | RAG | Voice AI)

eMedicalPracticeGhaziabad, IN
1 day ago
Job description

About eMedicalPractice

eMedicalPractice, based in Delray Beach, Florida, is a healthcare-technology company delivering enterprise solutions since 2008. Our platform powers EHR, Practice Management, RCM, Telemedicine, Clearinghouse, and Patient Engagement systems used by practices across the U.S.

We’re now expanding our R&D team in India to build next-generation AI automation that simplifies clinical documentation, enhances revenue-cycle efficiency, and improves patient outreach using LLMs and Voice AI.

Role Overview

We’re seeking a hands-on AI Architect to design and lead scalable AI solutions that combine large-language models, retrieval-augmented generation (RAG), and speech AI.

The ideal candidate can bridge deep technical skills with healthcare domain awareness, driving end-to-end architecture—from data ingestion and model integration to deployment and monitoring.

Location : Onsite – Hyderabad / Mangalagiri

Experience : 8 + years (4 + years in AI or ML architecture)

Type : Full-time | Immediate joiners preferred

Responsibilities

  • Architect and implement AI micro-services for text, speech, and document automation.
  • Design LLM / RAG pipelines using LangChain / LlamaIndex / OpenAI / Azure AI.
  • Integrate speech AI (ASR / TTS) for voice agents and virtual assistants.
  • Oversee data pipelines and model deployment with Python, FastAPI, Docker, and Redis.
  • Establish AI security and governance best practices aligned to HIPAA.
  • Collaborate with backend (.NET / Node) and DevOps teams for production integration.
  • Mentor AI engineers and review technical designs for scalability and compliance.

Required Skills

  • Proven AI system architecture experience (LLM apps / RAG / speech AI).
  • Strong Python and FastAPI development skills.
  • Familiar with LangChain, LlamaIndex, vector DBs (FAISS / Pinecone / Chroma).
  • Experience with cloud platforms (Azure / AWS / GCP) and container deployments.
  • Understanding of healthcare data (EDI / FHIR / HL7) and HIPAA privacy principles.
  • Preferred

  • Prior experience in healthcare AI, RCM automation, or clinical data processing.
  • Exposure to speech technologies (Whisper, Azure Speech, GPT-4 Realtime).
  • MLOps / CI-CD experience for AI services.
  • Why Join Us

  • Build AI systems impacting real clinics across the U.S.
  • Work with a small, high-impact team pioneering AI in EHR and RCM.
  • Opportunity to architect from scratch and see your work go live in production.
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