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Information Technology 🏒 Full Time ⭐️ Verified

Senior Quantum & AI Architect (2026 Vision)

Nexus Horizons Inc.
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

We are defining the technological landscape for the year 2026. Nexus Horizons Inc. is seeking a visionary Senior Quantum & AI Architect to lead our Research & Development division. If you are passionate about pushing the boundaries of what is possible with Artificial Intelligence and preparing for the quantum era, this is your opportunity to build the future.

In this role, you will not just adapt to emerging trends; you will define them. You will be responsible for architecting scalable, secure, and ethically sound systems that bridge the gap between classical computing and next-generation AI.

Responsibilities

  • Architect and deploy cutting-edge AI models with a specific focus on post-quantum security and generative capabilities.
  • Lead a high-performance team of data scientists and engineers to translate theoretical research into production-ready software.
  • Collaborate with cross-functional stakeholders to integrate 2026-ready technologies into our core product ecosystem.
  • Define and execute the technical roadmap for integrating quantum computing concepts into machine learning workflows.
  • Mentor junior staff and foster a culture of innovation, technical excellence, and continuous learning.
  • Ensure all architectural decisions adhere to the highest standards of data privacy and ethical AI usage.

Qualifications

  • PhD or Master’s degree in Computer Science, Mathematics, or a related field with a focus on AI, Machine Learning, or Quantum Computing.
  • Minimum of 7 years of experience in software engineering, machine learning architecture, or R&D leadership.
  • Deep expertise in Python, PyTorch, TensorFlow, and quantum simulation libraries (e.g., Qiskit, Cirq, or Pennylane).
  • Proven track record of publishing in top-tier conferences (NeurIPS, ICML, or equivalent) or leading high-impact R&D projects.
  • Strong understanding of distributed systems, cloud architecture, and scalable machine learning pipelines.
  • Excellent communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.

Required Skills

Python PyTorch TensorFlow Quantum Computing Machine Learning AI Architecture System Design R&D Leadership Cloud Computing

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