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Information Technology 🏒 Full Time ⭐️ Verified

Lead AI Architect - 2026 Vision

Quantum Core Systems
New York City
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
17 Mei 2026
Deadline
17 Mei 2027

Job Description

Shape the Future of Intelligence.

Quantum Core Systems is seeking a visionary Lead AI Architect to spearhead the development of next-generation artificial intelligence systems. As we define the technological roadmap for the 2026 era, we need a technical leader who isn't just building software, but architecting the future.

In this role, you will bridge the gap between theoretical AI potential and scalable, real-world implementation. You will work directly with our R&D team to build the infrastructure that powers the autonomous systems of tomorrow.

Why Join Us?

  • Work at the forefront of the 2026 technology landscape.
  • Competitive compensation and equity packages for top-tier talent.
  • Access to state-of-the-art computing resources and research grants.

Responsibilities

  • Architect and design scalable, high-performance AI infrastructure capable of supporting complex 2026-era applications.
  • Lead a cross-functional team of data scientists and engineers to translate theoretical research into production-ready code.
  • Define technical standards and best practices for machine learning model deployment and monitoring.
  • Identify emerging AI trends and evaluate their potential integration into the core product ecosystem.
  • Collaborate with stakeholders to ensure technical solutions align with long-term business and 2026 strategic goals.
  • Oversee the optimization of existing models to improve accuracy, speed, and energy efficiency.

Qualifications

  • Master’s degree or Ph.D. in Computer Science, Machine Learning, or a related technical field.
  • 10+ years of experience in software engineering with a specific focus on Artificial Intelligence and Deep Learning.
  • Extensive hands-on experience with Python, TensorFlow, PyTorch, and large-scale distributed systems.
  • Proven track record of leading high-performing engineering teams and managing large-scale projects.
  • Deep understanding of NLP, Computer Vision, or Reinforcement Learning principles.
  • Strong problem-solving skills with the ability to navigate ambiguity in the rapidly evolving tech landscape.

Required Skills

Artificial Intelligence Machine Learning Python System Architecture Deep Learning TensorFlow PyTorch Leadership NLP Computer Vision

Ready to Take This Challenge?

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