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Senior Quantum AI Architect | 2026 Vision

Apex Horizon Systems
San Francisco
Estimated Salary
USD 180.000 – USD 290.000
Live Update
25 Mei 2026
Deadline
25 Mei 2027

Job Description

Architect the Future. Lead the Revolution.

Apex Horizon Systems is pioneering the next era of computing. As we accelerate toward our 2026 roadmap, we are seeking a visionary Senior Quantum AI Architect to design the infrastructure that will power the next decade of technological breakthroughs.

You will be responsible for bridging the gap between classical cloud computing and emerging quantum processing units (QPUs). If you are passionate about solving complex problems at scale and want to define the standard for next-generation AI architecture, this is your opportunity.

Why You’ll Thrive Here:

  • Impactful Work: Directly influence the core architecture that drives our flagship 2026 product suite.
  • Global Leadership: Collaborate with a diverse team of engineers, data scientists, and futurists.
  • Compensation: Competitive base salary, equity package, and comprehensive benefits.

Responsibilities

  • Design & Build: Architect scalable, hybrid quantum-classical systems capable of handling petabyte-scale data workloads.
  • Roadmap Strategy: Define the technical roadmap for integrating AI models with quantum algorithms to meet our 2026 launch goals.
  • Optimization: Identify and resolve bottlenecks in data pipelines, ensuring maximum efficiency for machine learning training.
  • Collaboration: Partner with product leaders and R&D teams to translate business requirements into robust technical solutions.
  • Mentorship: Guide a team of talented engineers, fostering a culture of innovation and continuous learning.
  • Security: Implement rigorous security protocols for quantum-safe cryptography and data privacy.

Qualifications

  • Education: Master’s degree or PhD in Computer Science, Physics, Applied Mathematics, or a related field.
  • Experience: 7+ years of experience in software architecture, with a focus on cloud infrastructure (AWS, GCP, or Azure).
  • Tech Stack: Proficiency in Python, C++, and quantum computing frameworks (Qiskit, Cirq, or PyQuil).
  • AI/ML: Deep understanding of machine learning algorithms, neural networks, and distributed systems.
  • Leadership: Proven track record of leading technical teams and delivering complex projects on time.
  • Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Quantum Computing AI Architecture Machine Learning Python Qiskit Cloud Infrastructure System Design Leadership

Ready to Take This Challenge?

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