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Information Technology 🏢 Full Time ⭐️ Verified

Senior AI & Quantum Architect (2026 Roadmap)

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

Job Description

Are you ready to define the technological landscape of 2026?

Nexus Horizon Solutions is seeking a visionary Senior AI & Quantum Architect to lead our next-gen engineering initiatives. In this pivotal role, you will bridge the gap between theoretical future tech and practical application, ensuring our platform remains at the cutting edge of innovation.

We are not just building software for today; we are architecting the foundation for tomorrow. If you possess a deep understanding of Artificial Intelligence, Quantum Computing, and strategic system design, we want to hear from you.

Why Join Us?

  • Work on groundbreaking projects that will define the future of the industry.
  • Competitive compensation package with equity options.
  • Flexible remote-first policy with premium office amenities in San Francisco.
  • Access to the latest hardware for quantum simulation and AI research.

Responsibilities

  • Architect scalable, next-generation AI systems tailored for the 2026 enterprise landscape.
  • Lead the integration roadmap for quantum computing technologies into existing infrastructure.
  • Define and execute the technical vision for emerging technologies, including Neural Networks and Neuromorphic chips.
  • Collaborate with cross-functional teams to translate complex future trends into actionable product features.
  • Mentor senior engineers and foster a culture of innovation and rapid prototyping.
  • Conduct rigorous technical feasibility studies for speculative technologies.

Qualifications

  • 10+ years of experience in software engineering, with at least 5 years in AI or high-performance computing.
  • Proven track record of leading technical teams through major architectural transitions.
  • Deep expertise in Large Language Models (LLMs), generative AI, and quantum algorithms.
  • Strong understanding of hardware-software co-design and edge computing architectures.
  • Bachelor’s degree in Computer Science, Physics, or a related field; Master’s degree preferred.
  • Exceptional strategic thinking and the ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Artificial Intelligence Machine Learning Quantum Computing System Architecture Strategic Planning Python C++ Leadership Neural Networks High-Performance Computing

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

Apply Now

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