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Information Technology 🏒 Full Time ⭐️ Verified

Lead AI Architect (2026 Vision)

Nexus Horizon Systems
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

The Future of Intelligence Starts Here.

Nexus Horizon Systems is at the forefront of the next technological paradigm. We are not just building software; we are architecting the cognitive infrastructure for the year 2026 and beyond. We are seeking a visionary Lead AI Architect to spearhead our advanced neural research and deployment initiatives.

In this role, you will bridge the gap between theoretical artificial intelligence and scalable, production-ready systems. You will be responsible for designing the neural pathways that power our next-generation platforms, ensuring they are secure, ethical, and exponentially intelligent.

Why Join Us?
We offer a competitive benefits package, remote-first flexibility, and the unique opportunity to define the roadmap of AI evolution.

Responsibilities

  • Architect and design scalable neural networks and machine learning pipelines tailored for 2026-era hardware capabilities.
  • Lead the research and development of proprietary generative AI models and large language models (LLMs).
  • Collaborate with quantum computing researchers to integrate hybrid computing architectures.
  • Mentor and guide a team of junior data scientists and machine learning engineers.
  • Define technical standards, code review processes, and best practices for AI deployment.
  • Optimize model inference speeds and reduce computational costs for edge devices.
  • Ensure all AI systems adhere to strict ethical guidelines and data privacy regulations.

Qualifications

  • Master’s or PhD in Computer Science, Mathematics, Statistics, or a related technical field.
  • 10+ years of professional experience in software engineering and machine learning.
  • Deep expertise in Python, PyTorch, TensorFlow, and modern GPU acceleration libraries.
  • Proven track record of deploying complex AI systems in high-traffic production environments.
  • Strong understanding of deep learning architectures, transformers, and reinforcement learning.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
  • Exceptional problem-solving skills and the ability to translate business needs into technical solutions.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning Cloud Architecture Distributed Systems Neural Networks Data Science AI Ethics

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

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