AI / ML Architect -Solutions Architect

Role : AI / ML Architect -Solutions Architect

Location : Raritan, NJ - Hybrid - 3 Days office

Long term Contract

Job Description :

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

Responsibilities : 1. GraphRAG

2. Knowledge Graphs

3. Neo4J

4. Recommendation engine

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