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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect | 2026 Protocol Implementation

NexaGen Dynamics
Seattle
Estimated Salary
USD 165.000 – USD 220.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Are you ready to shape the future of artificial intelligence? NexaGen Dynamics is seeking a visionary Senior AI Architect to spearhead the development and deployment of the proprietary 2026 Protocol. This revolutionary framework is designed to bridge the gap between current AI limitations and the complex demands of the post-2025 landscape.

Why Join Us?

  • Next-Gen Impact: Work directly on the 2026 Protocol, a technology stack set to redefine industry standards.
  • Competitive Compensation: Base salary of $165,000 - $220,000 USD plus equity.
  • Flexible Environment: Hybrid work model based in our Seattle innovation hub.

Role Overview

We are looking for a senior engineer who thrives in ambiguity and possesses a deep passion for solving complex scalability problems. You will be responsible for architecting the backbone of our next-generation AI infrastructure.

Responsibilities

  • Architect and deploy high-performance computing solutions based on the 2026 Protocol.
  • Design scalable neural network architectures optimized for heterogeneous hardware environments.
  • Collaborate with cross-functional teams to integrate advanced AI models into core product pipelines.
  • Conduct rigorous performance benchmarking and optimization of existing systems.
  • Drive technical decision-making regarding cloud infrastructure, edge computing, and microservices.
  • Mentor junior engineers and establish best practices for AI model deployment.

Qualifications

  • Master’s degree in Computer Science, Mathematics, or a related quantitative field.
  • 5+ years of experience in machine learning engineering and large-scale system design.
  • Deep proficiency in Python, C++, and CUDA programming.
  • Strong understanding of distributed systems, containerization (Docker/Kubernetes), and CI/CD pipelines.
  • Experience with Large Language Models (LLMs), Transformers, and generative AI frameworks.
  • Ability to translate complex mathematical concepts into robust, production-ready code.

Required Skills

Python C++ CUDA Machine Learning System Design Kubernetes AWS TensorFlow PyTorch Distributed Systems

Ready to Take This Challenge?

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