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Senior AI Architect (2026 Vision)

Quantum Horizons Inc.
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
14 Mei 2026
Deadline
14 Mei 2027

Job Description

We are seeking a visionary Senior AI Architect to lead our 'Project 2026' initiative. As the frontier of Artificial General Intelligence (AGI) approaches, Quantum Horizons Inc. is looking for a pioneer to design the neural architectures that will define the next decade of human-machine interaction.

In this role, you won't just be writing code; you will be architecting the future. You will collaborate with quantum physicists and cognitive scientists to build hybrid systems that leverage quantum processing for real-time neural inference. If you are passionate about pushing the boundaries of what is possible in technology, this is your opportunity to shape the world of 2026.

Responsibilities

  • Design and implement next-generation neural network architectures for AGI applications.
  • Integrate quantum computing principles into classical machine learning pipelines for enhanced processing power.
  • Optimize model performance for low-latency, high-throughput environments.
  • Lead a team of top-tier data scientists and engineers in research and development.
  • Define ethical frameworks and safety protocols for autonomous decision-making systems.
  • Stay ahead of industry trends, including neuromorphic computing and edge AI.

Qualifications

  • PhD or Master’s degree in Computer Science, Mathematics, or a related field.
  • Extensive experience with Deep Learning frameworks (PyTorch, TensorFlow) and Large Language Models (LLMs).
  • Strong background in Quantum Computing or a willingness to master it rapidly.
  • Proven track record of leading technical projects from conception to production deployment.
  • Exceptional problem-solving skills and ability to work in a fast-paced, high-impact environment.
  • Strong communication skills for cross-functional collaboration.

Required Skills

Python PyTorch TensorFlow Quantum Computing Machine Learning Deep Learning NLP Cloud Architecture AWS Kubernetes MLOps

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