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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI & Quantum Architect (2026 Roadmap)

Nexus Horizon Systems
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
Live Update
26 Mei 2026
Deadline
26 Mei 2027

Job Description

Are you ready to define the future of technology?

Nexus Horizon Systems is seeking a visionary Senior AI & Quantum Architect to lead our strategic roadmap for 2026. In an era defined by rapid convergence between Artificial Intelligence and Quantum Computing, we need a leader who can bridge the gap between theoretical research and scalable product implementation.

As a key member of our elite R&D division, you will architect the systems that will power the next generation of autonomous agents and secure data infrastructure. We offer a competitive salary, equity package, and the opportunity to work on breakthrough technologies that will shape the world in 2026 and beyond.

Responsibilities

  • Lead the 2026 Vision: Define the comprehensive technical roadmap for AI integration, focusing on Generative AI, Neural Interfaces, and Quantum-Ready Architecture.
  • System Architecture: Design scalable, high-performance distributed systems capable of handling exascale data processing requirements.
  • R&D Leadership: Mentor a team of elite engineers and researchers, fostering a culture of innovation and excellence.
  • Strategic Implementation: Oversee the deployment of cutting-edge machine learning models into production environments with zero-latency requirements.
  • Security & Compliance: Ensure all future-proof systems adhere to the highest standards of cybersecurity and data privacy regulations.
  • Cross-Functional Collaboration: Partner with product managers and stakeholders to translate complex technical concepts into actionable business strategies.

Qualifications

  • Education: Master’s or PhD in Computer Science, Physics, or a related field (PhD preferred for this strategic role).
  • Experience: 10+ years of experience in software architecture, with at least 5 years in leading AI/ML or high-performance computing teams.
  • Technical Skills: Deep expertise in Python, C++, and TensorFlow/PyTorch; practical experience with quantum computing libraries (Qiskit, Cirq) is a major plus.
  • Problem Solving: Demonstrated ability to solve complex, unsolved problems in scalable computing and distributed systems.
  • Leadership: Proven track record of leading engineering teams through complex digital transformations.
  • Communication: Exceptional ability to communicate complex technical strategies to non-technical stakeholders.

Required Skills

Artificial Intelligence Machine Learning Quantum Computing System Architecture Python C++ AWS Google Cloud Agile Leadership

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