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Senior AI & Quantum Architect | Define the 2026 Landscape | United States

Apex Horizon Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
11 Mei 2026
Deadline
11 Mei 2027

Job Description

Are you ready to build the infrastructure of tomorrow? Apex Horizon Systems is seeking a visionary Senior AI & Quantum Architect to spearhead our technical strategy for the 2026 era. We are on the cutting edge of merging Generative AI with Quantum Computing, and we need a technical leader who can turn futuristic concepts into scalable, production-ready reality.

In this role, you will design complex hybrid systems, lead a world-class engineering team, and shape the future of technology. If you thrive in ambiguity and are passionate about the next wave of innovation, this is your opportunity to lead.

Responsibilities

  • Architect and deploy scalable hybrid AI-Quantum models capable of solving problems currently deemed unsolvable.
  • Lead the research and development of next-generation neural architectures, optimizing for low-latency and high-throughput.
  • Oversee the migration of legacy infrastructure to next-gen cloud-native ecosystems.
  • Mentor and develop a high-performing team of data scientists, quantum engineers, and software developers.
  • Translate high-level business requirements into concrete technical specifications and roadmaps.
  • Establish best practices for security, ethical AI, and quantum error correction protocols.
  • Collaborate with cross-functional partners to drive product innovation and technical excellence.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Physics, Artificial Intelligence, or a related technical discipline.
  • 10+ years of experience in software architecture, with at least 5 years specifically in AI/ML or Quantum Computing.
  • Expert proficiency in Python, C++, and high-performance computing frameworks (e.g., PyTorch, TensorFlow, Qiskit).
  • Deep understanding of quantum algorithms (e.g., VQE, QAOA) and quantum hardware constraints.
  • Proven track record of leading large-scale technical projects and managing engineering teams in a fast-paced environment.
  • Strong problem-solving skills with the ability to navigate ambiguity in emerging technology landscapes.

Required Skills

Artificial Intelligence Quantum Computing Machine Learning System Architecture Python C++ Deep Learning Cloud Computing Leadership R&D

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