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Lead AI Architect - 2026 Roadmap

Quantum Leap Systems
San Francisco
Estimated Salary
USD 200.000 – USD 280.000
New
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

We are looking for a visionary Lead AI Architect to define the technological landscape for 2026 and beyond. At Quantum Leap Systems, we are building the infrastructure of tomorrow, today. In this high-impact role, you will lead the architectural design of our next-generation neural networks and autonomous systems, ensuring our platform is future-proof and scalable.

You will work at the intersection of deep learning and system engineering, collaborating with top-tier researchers and engineers to turn bold concepts into reality. This is an opportunity to shape the direction of AI for the upcoming decade.

Responsibilities

  • Architect and deploy scalable machine learning models for the 2026 platform.
  • Lead the technical strategy for high-availability distributed systems and cloud infrastructure.
  • Define the long-term technical roadmap, identifying emerging technologies to integrate into our core stack.
  • Mentor senior engineers and foster a culture of innovation and technical excellence.
  • Conduct rigorous performance optimization and code reviews to ensure system stability.
  • Collaborate with product leadership to translate futuristic requirements into actionable engineering tasks.

Qualifications

  • Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
  • 10+ years of experience in software engineering, with at least 5 years in AI/ML architecture.
  • Deep expertise in Python, PyTorch, TensorFlow, and large language model (LLM) fine-tuning.
  • Strong proficiency in cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
  • Proven track record of leading cross-functional teams in a fast-paced environment.
  • Excellent communication skills with the ability to articulate complex technical concepts to stakeholders.

Required Skills

AI Machine Learning Python TensorFlow Cloud Architecture System Design AWS GCP Kubernetes Leadership

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