Senior AI Platform Engineer — Agentic Solutions Lead

Floor & Decor

Atlanta (GA)

Hybrid

USD 150,000 - 210,000

Full time

3 days ago
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Job summary

Floor & Decor seeks a Senior AI Engineer to design, build, and operate an agentic platform enabling scalable AI solutions across the company. You will own the full delivery lifecycle on Microsoft Azure, integrating with operational systems and ensuring reliability, observability, and cost control.

The role emphasizes hands‑on engineering over research, with leadership through architecture and code quality. Expect collaboration across teams and a strong focus on production readiness.

Qualifications

  • 7–10 years of professional software engineering with ownership.
  • Strong backend fundamentals across C#/.NET, Java, Node.js/TypeScript, or Python.
  • Experience with RESTful API design, event-driven architectures, and microservices.
  • Proven CI/CD, automated testing, and code review practices.
  • Hands-on AI engineering with production agentic solutions on Azure.

Responsibilities

  • Design, build, and operate a shared agentic framework and platform.
  • Deliver production agentic solutions end-to-end on Azure and integrated systems.
  • Establish evaluation, observability, and cost controls for AI services.
  • Lead engineering practices, code reviews, and collaboration with product teams.
  • Prototype improvements and maintain security, reliability, and scalability.

Skills

Backend engineering
API design
Azure OpenAI
Event-driven
CI/CD

Education

Bachelor’s degree in CS/Engineering

Tools

LangChain
LangGraph
Azure Monitor
Ragas

Job description

Floor & Decor seeks a Senior AI Engineer to design, build, and operate an agentic platform enabling scalable AI solutions across the company. You will own the full delivery lifecycle on Microsoft Azure, integrating with operational systems and ensuring reliability, observability, and cost control.

The role emphasizes hands‑on engineering over research, with leadership through architecture and code quality. Expect collaboration across teams and a strong focus on production readiness.

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