Ai Architect Bunghmun

Ai Architect Bunghmun

25 Mar
|
Simpliigence
|
Bunghmun

25 Mar

Simpliigence

Bunghmun

We are looking for a seasoned AI Architect with deep expertise in Large Language Models and a robust background in healthcare technology. You will lead the architecture and delivery of production-grade clinical AI solutions — from LLM-powered applications and RAG pipelines to agentic AI systems — while ensuring full compliance with healthcare regulations including HIPAA and FHIR standards.

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Notice Period / Last Working Day:

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(Immediate Joiners Preferred)

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REQUIRED SKILLS & EXPERIENCE

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AI & LLM Expertise

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12+ years in AI/ML with at least 3 years hands-on LLM and GenAI development.

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Robust experience with LLM APIs — OpenAI GPT-4o, Anthropic Claude, LLaMA, Google Gemini.

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Hands-on RAG architecture — vector databases (Pinecone, Weaviate, ChromaDB), chunking, reranking, hybrid search.

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Agentic AI frameworks — LangChain, LlamaIndex, AutoGen, or CrewAI.

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LLM fine-tuning using LoRA / QLoRA / PEFT on domain-specific datasets.

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Prompt engineering — chain-of-thought, few-shot,



instruction tuning for clinical contexts.

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Healthcare Domain (Must Have)

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Solid knowledge of healthcare data — EHR/EMR, clinical notes, lab results, imaging, and claims.

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Proficiency in interoperability standards — HL7, FHIR R4, DICOM, ICD-10, SNOMED CT, LOINC.

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HIPAA compliance expertise — PHI handling, de-identification, and audit controls.

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Familiarity with FDA AI/ML SaMD guidelines and GxP compliance for life sciences.

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Experience with clinical NLP — medical entity extraction, summarisation, and coding automation.

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Architecture & Platform

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Cloud AI platforms — AWS SageMaker / Bedrock, Azure OpenAI / ML, GCP Vertex AI.

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MLOps — MLflow, Weights & Biases, CI/CD for ML, model drift monitoring.

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Containerisation and orchestration — Docker, Kubernetes, model serving (FastAPI, Triton).

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Python (expert), SQL (strong), REST API design, Spark for healthcare data pipelines.

📌 Ai Architect Bunghmun
🏢 Simpliigence
📍 Bunghmun

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