AI/ML Solutions Architect

AI/ML Architect -Solutions Architect

Location : Raritan, NJ - Hybrid - 3 Days office

Design the architecture

for deploying scalable, observable, and compliant AI/ML solutions integrated

with clinical workflows and hospital data platforms.

Main Skills: GenAI / LLMs,
RAG / GraphRAG, Knowledge Graphs / Neo4j, Vector Databases (FAISS, Pinecone), MLOps (Airflow, MLflow, CI/CD), Vertex AI / Azure ML, Kubernetes / Docker, Model deployment & monitoring, HIPAA / Healthcare AI, HL7 / FHIR / Epic integration

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
• Ability to demonstrate technical concepts to non-technical audiences