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Senior Quantum AI Architect (2026 Roadmap)

Nexus Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

We are pioneering the next generation of computational intelligence, and we are looking for a visionary Senior Quantum AI Architect to lead our 2026 roadmap initiatives. In this pivotal role, you will bridge the gap between theoretical quantum mechanics and practical artificial intelligence applications, designing systems that redefine the boundaries of what is possible.

At Nexus Future Systems, we don't just predict the future; we build it. You will work with a world-class team of researchers, engineers, and strategists to deploy scalable quantum algorithms that solve complex problems in optimization, cryptography, and deep learning.

If you are passionate about pushing the envelope of technology and are eager to define the architecture for the future of AI, we want to hear from you.

Responsibilities

  • Lead the architectural design and implementation of hybrid quantum-classical AI systems targeting 2026 deployment milestones.
  • Develop and optimize quantum algorithms for machine learning tasks, ensuring high performance and scalability.
  • Collaborate with cross-functional teams to translate strategic business objectives into robust technical roadmaps.
  • Mentor junior engineers and researchers, fostering a culture of innovation and technical excellence.
  • Stay at the forefront of industry trends in quantum computing and artificial intelligence to ensure our solutions remain cutting-edge.
  • Define best practices for quantum hardware integration and software development lifecycles.

Qualifications

  • Master’s or PhD in Computer Science, Physics, Mathematics, or a related technical field.
  • 8+ years of experience in software engineering, with a focus on AI, machine learning, or high-performance computing.
  • Strong proficiency in Python, C++, and quantum programming frameworks such as Qiskit, Cirq, or PyQuil.
  • Deep understanding of quantum mechanics principles and their application to computational problems.
  • Experience with cloud-based quantum computing platforms (IBM Quantum, Google Cirq, AWS Braket).
  • Excellent communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.

Required Skills

Python C++ Quantum Computing Machine Learning AI System Architecture Qiskit Cloud Computing Leadership

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