Job description

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: 12+years 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

Requirements