GenAI & ML Architect for Next-Gen Network Intelligence

Extreme Networks; Washington; On-site; USD 153,000 - 187,000; Full time

Job summary

Extreme Networks, Inc. in Seattle, Washington, is seeking a Senior Software Engineer (GenAI, ML) to design and deliver AI-powered networking solutions that scale globally.

You will own the full SDLC for ML platforms, shape technical roadmaps, and collaborate with cross-functional teams to deploy real-time Generative AI systems across cloud environments.

This role focuses on innovative, scalable AI-driven networking tech with a global impact and a culture that values inclusion.

Qualifications

• Degree in Computer Science, Mathematics, or a related field.
• 5+ years of experience across the full SDLC: design, coding, reviews, testing, deployment, and operations.
• 5+ years of experience architecting and deploying end-to-end ML solutions in production environments.
• Proven expertise developing Generative AI solutions such as RAG, AI Agents, and LLM fine-tuning at scale.

Responsibilities

• Shape long-term strategy by designing and launching strategic ML solutions with company-wide impact.
• Own and guide the full software development lifecycle at scale, including architecture, design, testing, deployment, and operations.
• Architect and deliver high-performance, production-grade ML platforms and frameworks.
• Partner with senior engineers, scientists, and cross-functional leaders to accelerate experimentation and model integration.

Skills

Generative AI

ML Platforms

Cloud Deployment

Distributed Systems

Education

Bachelor's degree in CS/Math or related

MS or PhD in CS/ML

Tools

GNNs

Spark

Kafka

PySpark

Job description

Extreme Networks, Inc. in Seattle, Washington, is seeking a Senior Software Engineer (GenAI, ML) to design and deliver AI-powered networking solutions that scale globally.

You will own the full SDLC for ML platforms, shape technical roadmaps, and collaborate with cross-functional teams to deploy real-time Generative AI systems across cloud environments.

This role focuses on innovative, scalable AI-driven networking tech with a global impact and a culture that values inclusion.