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Information Technology 🏒 Full Time ⭐️ Verified

Lead AI & Quantum Systems Architect (2026 Vision)

Nexus Horizon
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

We are not just building for tomorrow; we are defining the landscape of 2026. Nexus Horizon is seeking a visionary Lead AI Architect to spearhead the next generation of generative intelligence and quantum-integrated systems. In this pivotal role, you will bridge the gap between theoretical physics and practical application, deploying large-scale AI models that push the boundaries of what is possible.


Join us in constructing the digital infrastructure of the future and become a key architect of the AI revolution.

Responsibilities

  • Architect and deploy scalable, high-performance Large Language Models (LLMs) designed for enterprise integration by 2026.
  • Lead cross-functional teams in integrating quantum computing protocols with classical AI workflows.
  • Optimize neural network architectures for real-time inference on edge devices and distributed clusters.
  • Establish robust data governance and ethical AI frameworks to ensure responsible innovation.
  • Mentor senior engineers and foster a culture of technical excellence and forward-thinking problem solving.
  • Conduct rigorous research into emerging AI paradigms to maintain a competitive edge.

Qualifications

  • 10+ years of experience in software engineering, with at least 5 years specializing in Machine Learning and AI infrastructure.
  • Advanced degree (PhD or Master’s) in Computer Science, Physics, or a related quantitative field.
  • Deep expertise in Python, PyTorch, TensorFlow, and distributed systems (Kubernetes, Docker).
  • Proven track record of deploying AI models at scale in cloud environments (AWS, GCP, or Azure).
  • Experience with quantum computing libraries or a strong interest in post-quantum cryptography.
  • Exceptional communication skills with the ability to translate complex technical concepts to non-technical stakeholders.

Required Skills

Python Machine Learning Deep Learning PyTorch Kubernetes Distributed Systems Cloud Computing Quantum Computing Leadership AI Architecture

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