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Lead AI Architect - 2026 Neural Stack

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Join Nexus Horizon Labs, the pioneers behind the revolutionary 2026 Neural Stack. We are looking for a visionary Lead AI Architect to design the next generation of autonomous intelligence systems. If you are passionate about the future of technology and thrive in a high-performance environment, this is your opportunity to define the standard for AI in 2026.

In this role, you will lead a world-class team in building scalable, secure, and ethically sound AI models. You will bridge the gap between theoretical research and production-grade deployment, ensuring our solutions are not only powerful but accessible.

Why join us?
β€’ Work on cutting-edge technology that will define the next decade.
β€’ Competitive equity package and top-tier benefits.
β€’ Remote-first culture with flexible working hours.

Responsibilities

  • Architect and implement scalable AI models using the proprietary 2026 Neural Stack.
  • Optimize inference latency for real-time holographic rendering and data processing.
  • Lead a diverse team of ML engineers and data scientists in research and development.
  • Establish best practices for model governance, safety, and ethical AI usage.
  • Collaborate with cross-functional teams to integrate AI capabilities into consumer hardware.
  • Drive the technical roadmap for next-generation generative AI features.
  • Conduct code reviews and mentor junior developers to foster a culture of excellence.

Qualifications

  • Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related technical field.
  • 10+ years of experience in software engineering, with at least 5 years in a lead technical role.
  • Deep expertise in Python, C++, and the 2026 Neural Framework ecosystem.
  • Strong background in Machine Learning, Deep Learning, and Natural Language Processing.
  • Experience with distributed systems, cloud infrastructure (AWS/GCP), and containerization (Docker/K8s).
  • Proven track record of shipping complex AI products to market.
  • Excellent communication skills and the ability to translate technical concepts to non-technical stakeholders.

Required Skills

Python C++ Machine Learning Deep Learning Neural Networks 2026 Neural Stack AWS Kubernetes Distributed Systems TensorFlow PyTorch Agile Methodologies

Ready to Take This Challenge?

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