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Information Technology 🏒 Full Time ⭐️ Verified

AI & Quantum Architect - Shaping the 2026 Future

Nexus Horizon Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
12 Juli 2026
Deadline
12 Jul 2027

Job Description

Are you ready to define the technology of tomorrow?

At Nexus Horizon Technologies, we aren't just building for today; we are architecting the foundational systems for 2026 and beyond. We are seeking a visionary AI & Quantum Architect to lead our core research division. In this role, you will bridge the gap between classical computing and next-generation quantum solutions, ensuring our clients stay ahead of the curve in an increasingly AI-driven world.

We offer a competitive salary, comprehensive benefits, and the opportunity to work on projects that will define the industry standards for the coming decade.

Responsibilities

  • Lead Architectural Design: Design scalable, fault-tolerant systems for Generative AI, Large Language Models (LLMs), and hybrid quantum-classical computing architectures.
  • Technical Roadmap: Define and execute the technical vision for the 2026 product roadmap, identifying emerging technologies and integration points.
  • Team Leadership: Mentor a team of senior engineers and data scientists, fostering a culture of innovation and continuous learning.
  • System Integration: Oversee the integration of quantum computing capabilities into existing classical infrastructure using frameworks like Qiskit or Cirq.
  • Performance Optimization: Optimize AI models for speed and efficiency, ensuring low-latency processing in distributed environments.
  • Stakeholder Communication: Translate complex technical concepts into actionable insights for executive stakeholders and non-technical clients.

Qualifications

  • Education: Master’s or PhD in Computer Science, Physics, Mathematics, or a related field; PhD preferred.
  • Experience: 10+ years of experience in software engineering, machine learning, or distributed systems architecture.
  • Programming: Deep expertise in Python, C++, and Rust; familiarity with functional programming paradigms.
  • Quantum Knowledge: Demonstrated experience or strong understanding of quantum computing principles and quantum algorithms.
  • Cloud Mastery: Extensive experience with cloud infrastructure (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
  • Problem Solving: Exceptional ability to solve complex, unstructured problems with innovative solutions.

Required Skills

AI Machine Learning Quantum Computing Python C++ Rust System Architecture Cloud Computing Kubernetes Docker Quantum Algorithms LLMs

Ready to Take This Challenge?

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