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Lead AI Architect: Shaping the Future of 2026

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

We are on a mission to define the technological landscape of 2026 and beyond. Nexus Horizon Labs is seeking a visionary Lead AI Architect to spearhead our research into Artificial General Intelligence (AGI) and autonomous systems. If you are passionate about solving humanity's greatest challenges through code and have a knack for future-proofing solutions, this is your opportunity to lead the charge.

Our team focuses on bridging the gap between current machine learning capabilities and the sci-fi realities of tomorrow. You will work in a high-performance environment where innovation is the only metric that matters.

Responsibilities

  • Architect Next-Gen AI Systems: Design scalable, fault-tolerant neural architectures capable of handling the data complexities of 2026.
  • Lead Research & Development: Drive the experimental phase of our Quantum-Neural hybrid projects.
  • Define Ethical Frameworks: Establish governance protocols for AI safety and bias mitigation in future technologies.
  • Cross-Functional Collaboration: Partner with UX designers and hardware engineers to integrate AI seamlessly into next-generation hardware.
  • Mentorship: Cultivate a high-performing engineering team focused on future-proof skills.

Qualifications

  • Education: PhD in Computer Science, Machine Learning, or a related field.
  • Experience: 7+ years of experience in AI/ML engineering, with a focus on deep learning frameworks.
  • Tech Stack: Proficiency in Python, PyTorch, TensorFlow, and experience with distributed computing (Spark, Kubernetes).
  • Future-Ready Skills: Familiarity with Large Language Models (LLMs), Generative AI, and emerging tech trends.
  • Soft Skills: Exceptional communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.

Required Skills

Artificial Intelligence Machine Learning Python PyTorch System Architecture Deep Learning Cloud Computing Leadership Research and Development

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