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Senior AI & Quantum Systems Architect (2026 Roadmap)

Apex Horizon Technologies
San Francisco
Estimated Salary
USD 160.000 – USD 240.000
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

We are on the precipice of a technological renaissance. At Apex Horizon Technologies, we are not just building software for today; we are architecting the infrastructure for tomorrow. As we accelerate towards our 2026 roadmap, we are seeking a visionary Senior AI & Quantum Systems Architect to lead our next-generation Research & Development division. You will be at the forefront of integrating Generative AI, Quantum Computing, and Autonomous Systems to solve the world's most complex problems. If you are passionate about defining the future of technology and want to leave a lasting legacy in the industry, we want to hear from you.

Responsibilities

  • Architect and deploy scalable, fault-tolerant AI systems capable of handling petabyte-scale data streams.
  • Lead the R&D roadmap for 2026, focusing on the convergence of Large Language Models (LLMs) and Quantum algorithms.
  • Design novel neural network architectures and reinforcement learning frameworks for autonomous decision-making agents.
  • Mentor a high-performing team of data scientists and machine learning engineers to foster a culture of innovation.
  • Collaborate with cross-functional stakeholders to translate technical roadmaps into product realities.
  • Conduct rigorous testing and validation to ensure system security, ethical compliance, and performance optimization.

Qualifications

  • PhD or Master’s degree in Computer Science, Physics, Mathematics, or a related field.
  • 10+ years of professional experience in software engineering, with at least 5 years focused on AI/ML and Deep Learning.
  • Proven expertise in designing and training state-of-the-art models (e.g., Transformers, Diffusion Models).
  • Strong understanding of quantum computing principles and their practical application in classical AI problems.
  • Experience with cloud infrastructure (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
  • Exceptional leadership skills with a track record of driving technical strategy in a fast-paced environment.

Required Skills

Python PyTorch TensorFlow AWS Kubernetes Quantum Computing LLMs Natural Language Processing Deep Learning Machine Learning Docker System Architecture Agile Methodologies

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