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Artificial Intelligence 🏒 Full Time ⭐️ Verified

Next-Gen AI Architect (2026 Vision)

Quantum Horizon
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
21 Mei 2026
Deadline
21 Mei 2027

Job Description

Quantum Horizon is at the forefront of defining the technological landscape of 2026. We are seeking a visionary Next-Gen AI Architect to lead our research and development in predictive artificial intelligence and autonomous systems. In this pivotal role, you will bridge the gap between theoretical future-tech and practical application, ensuring our platforms are not just functional today, but revolutionary for the decade ahead.

As a key member of our elite R&D team, you will be instrumental in architecting scalable neural networks and ethical AI frameworks. If you are passionate about shaping the future of technology and thrive in a high-velocity, innovative environment, we want to hear from you.

Responsibilities

  • Design and implement cutting-edge AI architectures designed for the year 2026 and beyond, focusing on scalability and efficiency.
  • Lead the research and development of next-generation machine learning models, including generative AI and predictive analytics.
  • Collaborate with cross-functional teams to integrate AI solutions into core product ecosystems.
  • Establish ethical guidelines and safety protocols for autonomous systems to ensure responsible innovation.
  • Conduct in-depth analysis of emerging tech trends to identify opportunities for competitive advantage.
  • Mentor junior engineers and data scientists in advanced AI methodologies.

Qualifications

  • PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related quantitative field.
  • Proven experience (7+ years) in designing and deploying large-scale machine learning systems.
  • Expert proficiency in Python, TensorFlow, PyTorch, and distributed computing frameworks.
  • Deep understanding of neural network architectures, NLP, and computer vision.
  • Experience with cloud platforms (AWS, GCP, Azure) and containerization technologies (Docker, Kubernetes).
  • Strong track record of patenting novel algorithms or publishing research in top-tier AI conferences.

Required Skills

Python TensorFlow PyTorch Machine Learning Neural Networks AI Architecture Cloud Computing R&D San Francisco

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