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Information Technology 🏢 Full Time ⭐️ Verified

Lead AI Architect - 2026 Strategic Vision

Quantum Dynamics Inc.
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
Live Update
17 Mei 2026
Deadline
17 Mei 2027

Job Description

The Opportunity:

Quantum Dynamics Inc. is pioneering the next era of artificial intelligence. As a Lead AI Architect - 2026, you will be instrumental in defining the roadmap for our flagship 'Project 2026' initiative, a next-generation neural network designed to redefine human-machine interaction.

We are looking for a visionary engineer who isn't just building models, but architects of the future. You will bridge the gap between theoretical research and scalable production systems, leading a world-class team of researchers and engineers.

Why Join Us?

Be at the forefront of the AI revolution. We offer competitive compensation, stock options, and the opportunity to work on projects that will shape the technological landscape of the decade.

Responsibilities

  • Architect & Design: Lead the end-to-end design and architecture of scalable AI systems, specifically tailored for the high-performance requirements of the 2026 roadmap.
  • Research & Development: Spearhead research into advanced deep learning architectures, including transformer models and reinforcement learning agents.
  • Team Leadership: Mentor a team of senior engineers and data scientists, fostering a culture of innovation, technical excellence, and continuous learning.
  • Optimization: Drive performance optimization strategies to ensure models are efficient, scalable, and cost-effective in cloud environments.
  • Collaboration: Work closely with product managers and stakeholders to translate complex technical requirements into actionable development plans.
  • Implementation: Oversee the deployment of models into production, ensuring robust monitoring, logging, and failover mechanisms are in place.

Qualifications

  • Education: Ph.D. or M.S. in Computer Science, Machine Learning, or a related quantitative field.
  • Experience: 5+ years of experience in designing and deploying large-scale machine learning systems in a production environment.
  • Technical Skills: Deep proficiency in Python, PyTorch, TensorFlow, or JAX. Strong understanding of distributed systems and cloud infrastructure (AWS/GCP/Azure).
  • Strategic Mindset: Proven ability to define technical roadmaps and lead cross-functional teams through complex engineering challenges.
  • Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders and executive leadership.
  • Passion: A deep passion for the future of AI and a desire to push the boundaries of what is currently possible.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning Distributed Systems Cloud Computing AWS Leadership System Architecture

Ready to Take This Challenge?

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

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