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Senior AI Architect: The 2026 Initiative

Quantum Leap Technologies
New York
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

Quantum Leap Technologies is pioneering the next era of intelligent systems. We are currently recruiting for The 2026 Initiative, a groundbreaking project dedicated to developing autonomous AI solutions that redefine industry standards. We are seeking a visionary Senior AI Architect to lead our technical strategy and build the robust infrastructure required for future scalability.

In this role, you will be the technical anchor for a high-impact team. You will bridge the gap between advanced research and production-grade applications, ensuring our AI models are not only cutting-edge but also reliable and efficient. This is a unique opportunity to shape the technical landscape of the 2026 era and drive innovation at a global scale.

Responsibilities

  • Architect and deploy scalable machine learning pipelines aligned with the 2026 strategic roadmap.
  • Lead the technical strategy for core AI products, ensuring alignment with long-term business objectives.
  • Mentor and guide a team of talented engineers, fostering a culture of technical excellence and innovation.
  • Conduct in-depth research into emerging AI trends to integrate breakthrough technologies into our product suite.
  • Collaborate with cross-functional stakeholders to translate complex business requirements into technical specifications.
  • Optimize model performance and reduce computational overhead for real-time production environments.
  • Establish best practices for data governance and model lifecycle management.

Qualifications

  • Master’s degree in Computer Science, Artificial Intelligence, or a related field (PhD preferred).
  • 10+ years of experience in software engineering and machine learning development.
  • Proven track record of leading large-scale AI projects from conception to full deployment.
  • Expert proficiency in Python, TensorFlow, PyTorch, and distributed systems.
  • Strong leadership skills with the ability to drive collaboration across engineering, product, and design teams.
  • Experience with cloud infrastructure (AWS, GCP, or Azure) and containerization technologies.
  • Excellent problem-solving abilities and a passion for pushing the boundaries of what AI can achieve.

Required Skills

Python Machine Learning Deep Learning TensorFlow PyTorch System Architecture Cloud Computing Leadership AI Strategy

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