Architect ML Engineer: Agentic AI Systems

quantiphi; United States; On-site; USD 150,000 - 210,000; Full time

Job summary

Quantiphi 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. You will create scalable architectures, enable autonomous collaboration among agents, and ensure robust performance on cloud platforms.

The role requires deep expertise in building scales systems, integrating LLMs, and applying cutting-edge AI frameworks in enterprise environments.

Qualifications

• 8–12 years of experience in ML engineering or AI architecture.
• Strong background in building production-grade AI systems.
• Proficient in deploying ML solutions on major cloud platforms.

Responsibilities

• Architect and build end-to-end agentic systems from scratch.
• Define communication protocols and orchestration layers for multi-agent workflows.
• Implement and maintain scalable, low-latency ML pipelines and tool libraries.

Skills

Agentic AI

LLMs

MLOps

Cloud platforms

Tools

CrewAI

Langgraph

AutoGen

Job description

Quantiphi 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. You will create scalable architectures, enable autonomous collaboration among agents, and ensure robust performance on cloud platforms.

The role requires deep expertise in building scales systems, integrating LLMs, and applying cutting-edge AI frameworks in enterprise environments.