ML Platform Architect for Agentic AI Systems

Quantiphi; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

Quantiphi is seeking an experienced Associate Architect – Machine Learning Engineering (MLE) to design and deliver scalable AI/ML platforms and Agentic AI solutions for enterprise applications in Dallas. You will mentor teams, define architecture standards, and collaborate with product, platform, and cloud teams to build production-grade ML systems using Python, FastAPI, and modern SDKs.

This on-site role offers exposure to cutting-edge AI technologies and robust CI/CD, with opportunities to

Qualifications

• Expert-level Python with enterprise ML applications.
• API design using FastAPI.
• Experience with Agentic AI workflows and multi-agent systems.
• CI/CD pipelines using Jenkins and GitLab Runners.
• Experience with LLM orchestration and AI workflow automation.

Responsibilities

• Architect and evolve Python SDK frameworks for AI platforms.
• Design scalable Agentic AI architectures and multi-agent systems.
• Build high-performance RESTful APIs using FastAPI.
• Mentor engineers and guide architectural decisions.

Skills

Python

FastAPI

API design

ML engineering

MLOps

Agentic AI

LLM orchestration

Distributed systems

Mentoring

Cloud platforms

Tools

Docker

Kubernetes

Terraform

GitLab

Job description

Quantiphi is seeking an experienced Associate Architect – Machine Learning Engineering (MLE) to design and deliver scalable AI/ML platforms and Agentic AI solutions for enterprise applications in Dallas. You will mentor teams, define architecture standards, and collaborate with product, platform, and cloud teams to build production-grade ML systems using Python, FastAPI, and modern SDKs.

This on-site role offers exposure to cutting-edge AI technologies and robust CI/CD, with opportunities to