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Information Technology 🏒 Full Time ⭐️ Verified

Lead AI Architect - 2026 Visionary Role

Nexus Horizon Solutions
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

We are defining the future of technology. As we approach the pivotal year of 2026, Nexus Horizon Solutions is seeking a visionary Lead AI Architect to design the neural infrastructure of tomorrow. You will be at the forefront of integrating quantum computing with generative AI, creating systems that do not just process data but predict and evolve.

In this role, you will bridge the gap between theoretical innovation and practical deployment, ensuring our platforms are resilient, scalable, and ethically sound for the decade ahead.

Responsibilities

  • Architect and lead the development of next-generation AI frameworks tailored for 2026 standards.
  • Define the technical roadmap for integrating quantum algorithms into current cloud infrastructures.
  • Mentor a high-performing team of data scientists and machine learning engineers.
  • Collaborate with cross-functional units to translate futuristic concepts into market-ready products.
  • Ensure system scalability and security for global enterprise deployment.
  • Stay ahead of emerging trends in autonomous agents and synthetic data generation.

Qualifications

  • Master’s degree in Computer Science, Artificial Intelligence, or a related field (PhD preferred).
  • Minimum of 8 years of experience in AI/ML architecture, with a focus on large language models and neural networks.
  • Deep expertise in Python, TensorFlow, PyTorch, and distributed computing systems.
  • Experience with quantum computing frameworks or a strong understanding of quantum supremacy concepts.
  • Exceptional problem-solving skills and a track record of delivering complex technical projects on time.
  • Strong leadership skills with the ability to inspire innovation in a rapidly evolving environment.

Required Skills

Python TensorFlow PyTorch Quantum Computing Neural Networks Cloud Architecture Machine Learning Leadership System Design

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