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Senior AI & Quantum Integration Architect (2026 Vision)

Apex Horizon Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 240.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Join the Architects of the 2026 Horizon.

Apex Horizon Technologies is at the forefront of defining the technological landscape of 2026. We are seeking a visionary Senior AI & Quantum Integration Architect to lead our research and development in bridging classical machine learning with emerging quantum computing paradigms. If you are passionate about building the infrastructure that will power the next decade of innovation, we want to hear from you.

Why Join Us?

  • Work on cutting-edge projects that define the future of AI.
  • Competitive compensation and equity packages.
  • Flexible remote-first culture with state-of-the-art hubs in San Francisco.
  • Focus on ethical AI and sustainable computing.

Don't just predict the future; engineer it.

Responsibilities

  • Design and implement scalable AI architectures capable of leveraging quantum processors for complex optimization problems.
  • Lead the integration of quantum algorithms into existing cloud infrastructure and AI pipelines.
  • Conduct research on state-of-the-art AI models, specifically focusing on predictive analytics and generative design for the 2026 market landscape.
  • Mentor a team of junior engineers and data scientists, fostering a culture of continuous learning and innovation.
  • Collaborate with cross-functional teams to translate business requirements into robust technical solutions.
  • Ensure system security, scalability, and performance in high-stakes environments.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Physics, or a related field with a focus on Artificial Intelligence and Quantum Mechanics.
  • Minimum of 5 years of experience in software engineering, with at least 2 years specifically in AI/ML and quantum computing.
  • Proficiency in Python, C++, and quantum programming languages such as Q# or Qiskit.
  • Deep understanding of machine learning frameworks including TensorFlow, PyTorch, and scikit-learn.
  • Experience with cloud platforms (AWS, Google Cloud, Azure) and containerization technologies (Docker, Kubernetes).
  • Strong problem-solving skills and the ability to work in a fast-paced, agile environment.

Required Skills

Python Quantum Computing Machine Learning TensorFlow AWS Docker Kubernetes System Design AI Architecture

Ready to Take This Challenge?

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