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Information Technology 🏒 Full Time ⭐️ Verified

Lead AI & Quantum Readiness Architect

Nexus Horizon AI
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
25 Mei 2026
Deadline
25 Mei 2027

Job Description

We are building the infrastructure for the year 2026. As we stand on the edge of a technological singularity, Nexus Horizon AI is seeking a visionary Lead AI & Quantum Readiness Architect to define the future of scalable, secure, and intelligent systems.

In this role, you won't just manage technology; you will architect the very fabric of our digital reality. You will bridge the gap between current Generative AI capabilities and the emerging demands of Quantum supremacy, ensuring our systems are robust, future-proof, and ready for the exponential growth expected by 2026.

Why Join Us?

  • Work at the intersection of Artificial Intelligence, Quantum Computing, and Cybersecurity.
  • Shape the roadmap for the next generation of enterprise solutions.
  • Competitive compensation and equity packages tailored for top-tier talent.

Responsibilities

  • Define the 2026 Technology Roadmap: Architect a forward-thinking technical strategy that integrates Generative AI, Quantum algorithms, and edge computing to meet future scalability needs.
  • Lead R&D Initiatives: Spearhead research projects focused on post-quantum cryptography and neural network optimization for next-gen hardware.
  • System Integration: Oversee the seamless integration of futuristic AI models into legacy infrastructure, ensuring zero downtime and maximum efficiency.
  • Talent & Mentorship: Build and lead a world-class engineering team, fostering a culture of innovation and continuous learning.
  • Strategic Planning: Collaborate with C-suite executives to align technical roadmaps with business goals for the 2026 fiscal year.

Qualifications

  • Education: Master’s or Ph.D. in Computer Science, Physics, or a related field with a focus on Quantum Information or AI.
  • Experience: 8+ years of experience in software architecture, with at least 3 years in a leadership role driving complex technical transformations.
  • Technical Mastery: Deep understanding of Machine Learning frameworks (TensorFlow, PyTorch) and emerging Quantum computing libraries (Qiskit, Cirq).
  • Problem Solving: Proven track record of solving high-stakes scalability and security challenges.
  • Future-Proof Mindset: Demonstrated ability to anticipate technological trends and adapt strategies accordingly.

Required Skills

Artificial Intelligence Quantum Computing System Architecture Python Machine Learning Cloud Computing Leadership Quantum Cryptography

Ready to Take This Challenge?

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