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Job Title- Al/ML Architect (Al Solutions Architect)
Project Location Onsite in NYC NY
Duration- 6 months contract
Strong Healthcare exp is must
Role Summary:
Design the architecture for deploying scalable observable and compliant Al/ML solutions integrated with clinical workflows and hospital data platforms.
Responsibilities:
Architect end-to-end ML pipelines using Airflow and MLFlow or Vertex Al 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 Al Azure ML container orchestration (K8s Docker)
Design architecture to support GenAl workloads (LLMs embeddings) using Vertex Al or Azure OpenAl
Define governance and guardrails for deploying agentic systems in clinical workflows
Design real-time inference services integrated with Epic via FHIR APIs
Ensure HIPAA-compliant encryption access controls and audit trails
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 GenAl pipelines (prompt injection protection moderation output fallback)
Support agentic Al orchestration with frameworks like LangChain CrewAl
Required Qualifications:
12years in data/ML or Al 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. GenAl tools. LangChain Weaviate or ChromaRB
Full-time