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Senior AI Architect 2026

Quantum Leap Dynamics
San Francisco
Estimated Salary
USD 200.000 – USD 300.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Are you a visionary engineer ready to define the technological landscape of 2026 and beyond?

Quantum Leap Dynamics is seeking a Senior AI Architect 2026 to spearhead our next-generation research division. We are not just building software; we are architecting the future of human-machine interaction. In this pivotal role, you will bridge the gap between theoretical AI research and scalable production systems.

As a leader in our organization, you will guide a team of elite engineers in developing the core algorithms that will power our platforms through the 2026 roadmap and beyond.

Responsibilities

  • Define the 2026 Vision: Lead the strategic roadmap for Artificial Intelligence, identifying emerging trends and technologies to integrate into our core infrastructure.
  • System Architecture: Design scalable, fault-tolerant neural network architectures capable of processing exabyte-scale data streams.
  • Research & Development: Spearhead R&D initiatives focusing on Large Language Models (LLMs), generative adversarial networks (GANs), and autonomous decision-making systems.
  • Team Leadership: Mentor a high-performing engineering squad, fostering a culture of innovation, technical excellence, and ethical AI development.
  • Cross-Functional Collaboration: Partner with product managers, data scientists, and security experts to translate complex research into market-ready products.
  • Performance Optimization: Oversee the optimization of inference speed and model accuracy to ensure real-time responsiveness in critical applications.

Qualifications

  • Education: Master’s or PhD in Computer Science, Machine Learning, or a related quantitative field from a top-tier university.
  • Experience: 10+ years of experience in software engineering, with at least 5 years in a senior or lead AI/ML architecture role.
  • Technical Stack: Deep expertise in Python, PyTorch, TensorFlow, or JAX. Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
  • Strategic Mindset: Proven track record of delivering complex, large-scale AI solutions from concept to deployment.
  • Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders and executive leadership.
  • Future-Proofing: Demonstrated ability to anticipate industry shifts and adapt technical strategies accordingly.

Required Skills

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

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