AIML Architect with Azure

AI / ML Architect with Azure

Raritan NJ Remote

Role Summary :

D esign the architecture for deploying scalable observable and compliant AI / ML solutions integrated with clinical workflows and hospital data platforms.

Responsibilities :

Architect end-to-end ML pipelines using Airflow and MLFlow or Vertex AI

Build containerized model inference systems deployed on Kubernetes with AppDynamics and observability

Full ownership of model lifecycle : development deployment drift monitoring

Proficient with GCP Vertex AI Azure ML container orchestration (K8s Docker)

Design architecture to support GenAI workloads (LLMs embeddings) using Vertex AI or Azure OpenAI

Define governance and guardrails for deploying agentic systems in clinical workflows

Implement MLOps patterns : model versioning rollback shadow testing

Define architecture for RAG (retrieval augmented generation) systems using vector databases (e.g. FAISS Pinecone)

Deploy LLM-based agents and secure GenAI pipelines (prompt injection protection moderation output fallback)

Support agentic AI orchestration with frameworks like LangChain CrewAI

Required Qualifications :

8 years in data / ML or AI architecture roles

Deep knowledge of Kubernetes Docker Snowflake cloud-native tools (GCP Azure)

Experience with HIPAA-regulated real-time model deployment.

Preferred Qualifications :

Experience integrating with Epic HL7 FHIR and SMART-on-FHIR

Working knowledge of LLMs GenAI tools LangChain Weaviate or ChromaDB

Design real-time inference services integrated with Epic via FHIR APIs

Ensure HIPAA-compliant encryption access controls and audit trails

Key Skills

APIs,Pegasystems,Spring,SOAP,.NET,Hybris,Solution Architecture,Service-Oriented Architecture,Adobe Experience Manager,J2EE,Java,Oracle

Employment Type : Full Time

Experience : years

Vacancy : 1