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Information Technology 🏒 Full Time ⭐️ Verified

Quantum & AI Readiness Architect (2026 Vision)

Nexus Horizon Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
Live Update
19 Mei 2026
Deadline
19 Mei 2027

Job Description

The Future is Now, and It Starts Here.

Nexus Horizon Technologies is pioneering the infrastructure for the year 2026. We are seeking a visionary Quantum & AI Readiness Architect to lead our R&D division. In this role, you won't just be writing code; you will be architecting the bridge between current generative AI and the post-silicon quantum era.

As we approach the pivotal year 2026, the integration of quantum computing with artificial intelligence will redefine the digital landscape. You will be responsible for designing resilient systems that are ready for the quantum leap, ensuring our clients remain competitive in a rapidly evolving market.

Responsibilities

  • System Architecture: Design and implement hybrid quantum-classical algorithms that solve complex, unsolvable problems using today's technology.
  • AI Strategy: Lead the strategic roadmap for integrating Generative AI into core business operations, ensuring scalability and security.
  • Future-Proofing: Conduct rigorous stress testing and risk assessments on current infrastructures to prepare for 2026 security protocols.
  • R&D Leadership: Mentor a team of top-tier engineers and data scientists, fostering a culture of innovation and continuous learning.
  • Stakeholder Collaboration: Translate complex technical 2026 projections into actionable business strategies for C-suite executives.

Qualifications

  • Education: Master’s or Ph.D. in Computer Science, Physics, Applied Mathematics, or a related technical field.
  • Experience: Minimum of 8+ years of experience in software architecture, with at least 3 years specifically in AI or Quantum computing research.
  • Technical Skills: Proficiency in Python, C++, TensorFlow, PyTorch, and cloud-native architectures (AWS/Azure).
  • Leadership: Proven track record of managing high-performance engineering teams and delivering complex projects on time.
  • Vision: Demonstrated ability to anticipate technological trends and adapt legacy systems for future compatibility.

Required Skills

Quantum Computing AI Architecture Python Machine Learning Cloud Computing Agile System Design Leadership

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