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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI & Quantum Systems Architect | 2026 Vision

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

Job Description

We are Nexus Horizon Solutions, a pioneer in next-generation computational intelligence. We are seeking a visionary Senior AI & Quantum Systems Architect to spearhead the architectural blueprint for our 2026 infrastructure roadmap. In this role, you will bridge the gap between artificial intelligence, quantum computing, and cloud scalability, defining how businesses interact with the future of technology.


Join us in building the digital nervous system of the next decade. You will be at the forefront of innovation, designing systems that are not just efficient today, but resilient for the years to come.

Responsibilities

  • Lead Architectural Vision: Design and implement scalable, fault-tolerant AI and hybrid quantum architectures for enterprise-level applications.
  • Strategic Roadmap: Define the technical vision for the 2026 product line, ensuring alignment with global market trends and client needs.
  • System Optimization: Oversee the deployment of machine learning models and optimize quantum algorithms for real-time processing.
  • Team Leadership: Mentor a team of brilliant engineers and data scientists, fostering a culture of continuous innovation and technical excellence.
  • Security & Compliance: Establish rigorous security protocols to protect sensitive data in decentralized and quantum environments.
  • Cross-Functional Collaboration: Partner with product managers and stakeholders to translate complex technical concepts into actionable business strategies.

Qualifications

  • Experience: 10+ years of experience in software architecture, with at least 5 years specifically in AI, Machine Learning, or Quantum Computing.
  • Technical Mastery: Proficiency in Python, Rust, and quantum programming languages (e.g., Q#). Deep understanding of cloud platforms (AWS, Azure, GCP).
  • Leadership: Proven track record of leading high-performance engineering teams through complex lifecycle transitions.
  • Education: Master’s degree or PhD in Computer Science, Physics, or a related technical field is highly preferred.
  • Problem Solving: Exceptional ability to solve ambiguous problems and think several steps ahead of the curve.
  • Communication: Excellent verbal and written communication skills for technical presentations.

Required Skills

AI Quantum Computing Machine Learning Cloud Architecture Python Rust System Design Leadership

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