Architect ML for Agentic AI & Multi-Agent Systems

Quantiphi; Princeton (NJ); On-site; USD 140,000 - 210,000; Full time

Job summary

Quantiphi in New Jersey is seeking an experienced Architect Machine Learning Engineer to design, build, and deploy production-grade agentic AI systems and multi-agent workflows from the ground up. The role requires deep expertise in autonomous AI systems capable of collaboration, reasoning, and task execution with minimal human intervention.

You will develop scalable agentic workflows, integrate LLMs, and apply RAG/PEFT techniques while ensuring enterprise-grade deployment on major cloud

Qualifications

• Experience building multi-agent systems in production environments.
• Strong understanding of agent orchestration and communication protocols.
• Familiarity with Langraph or CrewAI frameworks and tool-calling agents.

Responsibilities

• Architect, build, and deploy end-to-end agentic AI systems.
• Define communication protocols and orchestration layers for multiple agents.
• Ensure scalable, low-latency deployments on major cloud platforms (GCP/AWS/Azure).
• Implement MLOps practices for CI/CD, monitoring, and reliability.

Skills

Multi-agent systems

Agentic workflows

Langraph/CrewAI

MLOps/CI-CD

LLM integration

Cloud deployment

Tools

Pinecone

Weaviate

ChromaDB

Git

Job description

Quantiphi in New Jersey is seeking an experienced Architect Machine Learning Engineer to design, build, and deploy production-grade agentic AI systems and multi-agent workflows from the ground up. The role requires deep expertise in autonomous AI systems capable of collaboration, reasoning, and task execution with minimal human intervention.

You will develop scalable agentic workflows, integrate LLMs, and apply RAG/PEFT techniques while ensuring enterprise-grade deployment on major cloud