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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI & Quantum Architect | 2026 Vision

Zenith Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
2 Juli 2026
Deadline
2 Jul 2027

Job Description

Are you ready to architect the digital reality of 2026?

Zenith Future Systems is on the hunt for a visionary Senior AI & Quantum Systems Architect to lead our next-generation R&D division. As we prepare for the technological leaps of 2026, you will be at the forefront of developing hybrid quantum-AI models that redefine what is possible in machine learning.

In this role, you won't just write code; you will define the architectural standards for the next era of computing. We offer a competitive package, cutting-edge resources, and the opportunity to work on projects that will impact industries globally.

Why Join Us?

  • Shape the roadmap for 2026 AI integration in enterprise sectors.
  • Work with state-of-the-art quantum processors and generative models.
  • Competitive compensation and stock options.

Responsibilities

  • Design and deploy scalable, fault-tolerant AI architectures designed for the 2026 computing landscape.
  • Lead the research and development of hybrid quantum-classical algorithms to solve complex optimization problems.
  • Collaborate with cross-functional teams to integrate generative AI models into production workflows.
  • Optimize model inference speeds for edge computing devices using quantum-inspired techniques.
  • Establish best practices for data security, privacy, and ethical AI usage in future tech.
  • Mentor junior engineers and architects in advanced machine learning methodologies.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Physics, or a related quantitative field (or equivalent extensive experience).
  • 5+ years of experience in machine learning engineering, deep learning, and large language models (LLMs).
  • Strong proficiency in Python, C++, and quantum programming frameworks (Qiskit, Cirq).
  • Experience with cloud infrastructure (AWS, Azure, GCP) and containerization (Docker, Kubernetes).
  • Proven track record of deploying AI models that process petabytes of data.
  • Familiarity with ethical AI guidelines and regulatory compliance standards.

Required Skills

Generative AI Quantum Computing Python C++ Machine Learning Deep Learning Cloud Architecture NLP TensorFlow PyTorch Docker Kubernetes

Ready to Take This Challenge?

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