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Senior AI & Quantum Architect (2026 Ready)

Apex Future Technologies
San Francisco
Estimated Salary
USD 165.000 – USD 240.000
New
Live Update
5 Juni 2026
Deadline
5 Jun 2027

Job Description

Join Apex Future Technologies as we pioneer the computational landscape of 2026. We are seeking a visionary Senior AI & Quantum Architect to lead our research division in developing next-generation neural network models that bridge classical computing with quantum supremacy. If you are passionate about pushing the boundaries of what is possible in machine learning and have a knack for scalable architecture, this is your opportunity to shape the future of intelligence.

Why Join Us?
We offer a competitive benefits package, remote-first flexibility, and the chance to work on projects that will define the technological era of 2026 and beyond.

Responsibilities

  • Design and implement scalable AI architectures optimized for quantum-classical hybrid environments.
  • Lead the research and development of proprietary machine learning algorithms to solve complex, unsolved problems in data processing.
  • Collaborate with cross-functional teams of hardware engineers and data scientists to integrate quantum processors into AI workflows.
  • Mentor junior engineers and researchers, fostering a culture of innovation and technical excellence.
  • Ensure all AI models adhere to the strict ethical guidelines and safety protocols of 2026 standards.
  • Optimize model inference speed and reduce latency in distributed computing networks.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Physics, Mathematics, or a related field with a focus on Artificial Intelligence.
  • Minimum of 5-7 years of experience in machine learning engineering, deep learning, and large language model (LLM) development.
  • Proficiency in Python, PyTorch, TensorFlow, and quantum computing frameworks such as Qiskit or Cirq.
  • Strong understanding of linear algebra, probability, and statistical analysis.
  • Experience with cloud infrastructure (AWS, Azure, or GCP) and containerization technologies (Docker, Kubernetes).
  • Demonstrated ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Python TensorFlow PyTorch Quantum Computing Machine Learning Deep Learning Cloud Architecture Docker Kubernetes SQL Data Structures Algorithms

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