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Senior AI & Quantum Architect (2026 Vision)

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

Job Description

Are you ready to define the technological landscape of 2026 and beyond? Nexus Horizon Technologies is seeking a visionary Senior AI & Quantum Architect to lead our next-generation infrastructure initiatives. In this pivotal role, you will bridge the gap between theoretical quantum computing and practical AI applications, ensuring our systems are future-proof and scalable.

We are looking for a thought leader who thrives in ambiguity and possesses the technical prowess to architect solutions that will define the industry standard for the coming decade.

Responsibilities

  • Architect Future-Proof Systems: Design scalable AI and quantum computing architectures that align with the 2026 technological roadmap.
  • Lead Research & Development: Spearhead the integration of emerging quantum algorithms into existing deep learning frameworks.
  • Optimize Performance: Analyze complex data streams to enhance model accuracy and reduce computational latency in real-time environments.
  • Cross-Functional Collaboration: Work closely with data scientists and engineering teams to translate business requirements into technical roadmaps.
  • Stay Ahead of Trends: Monitor global tech trends to identify opportunities for innovation in AI, quantum supremacy, and edge computing.
  • System Validation: Conduct rigorous testing and validation of new systems to ensure compliance with safety and performance standards.

Qualifications

  • Education: Master’s degree or PhD in Computer Science, Physics, Electrical Engineering, or a related field.
  • Experience: Minimum of 7 years of experience in software engineering, AI/ML architecture, or quantum computing.
  • Technical Skills: Proficiency in Python, C++, and TensorFlow/PyTorch; experience with quantum simulation tools (e.g., Qiskit, Cirq).
  • Cloud Mastery: Strong understanding of cloud infrastructure (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes).
  • Problem Solving: Demonstrated ability to solve complex, large-scale technical challenges with innovative solutions.
  • Leadership: Proven track record of leading technical teams and mentoring junior engineers.

Required Skills

Python C++ Quantum Computing TensorFlow PyTorch AWS Azure GCP Docker Kubernetes Machine Learning Deep Learning System Architecture Data Science

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