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Information Technology 🏒 Full Time ⭐️ Verified

2026 Visionary AI Architect

QuantumLeap Systems
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
New
Live Update
31 Mei 2026
Deadline
31 Mei 2027

Job Description

We are at the precipice of a technological revolution, and QuantumLeap Systems is leading the charge into the future. We are seeking a visionary 2026 Visionary AI Architect to design the neural networks and computational frameworks that will define the next decade of human-computer interaction.

In this pivotal role, you will not just adapt to emerging technologies; you will architect them. You will bridge the gap between theoretical AI capabilities and practical, scalable enterprise solutions.

Why Join Us?

  • Work on cutting-edge AI projects that solve real-world problems.
  • Competitive compensation and equity packages.
  • Flexible remote and hybrid work options.

The Role

You will be responsible for the end-to-end technical design of our AI infrastructure, ensuring it is robust, secure, and ready for the demands of the year 2026 and beyond.

Responsibilities

  • Architect Next-Gen AI Systems: Design scalable and resilient machine learning infrastructure capable of handling high-volume data streams.
  • Future-Proofing: Implement architectures that are future-proof, anticipating the integration of quantum computing and advanced neural interfaces.
  • Technical Leadership: Mentor a team of senior engineers and data scientists, fostering a culture of innovation and excellence.
  • Strategy Development: Define and execute the technical roadmap for AI adoption across the organization.
  • Collaboration: Partner with product managers and stakeholders to translate complex business requirements into technical specifications.

Qualifications

  • Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related field.
  • Experience: 10+ years of experience in software engineering, with at least 5 years focused on AI/ML architecture.
  • Technical Skills: Deep expertise in Python, TensorFlow, PyTorch, and distributed systems (Kubernetes, Docker).
  • Problem Solving: Proven ability to solve complex, ambiguous technical challenges.
  • Leadership: Demonstrated experience leading high-performing engineering teams.

Required Skills

AI Machine Learning Python TensorFlow PyTorch Cloud Architecture Kubernetes Distributed Systems Leadership

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

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