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Senior AI Architect - Future Systems (2026)

Quantum Horizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
24 Mei 2026
Deadline
24 Mei 2027

Job Description

Welcome to the frontier of innovation. Quantum Horizon Labs is seeking a visionary Senior AI Architect to lead the design and implementation of our next-generation artificial intelligence systems. As we prepare for the technological landscape of 2026, you will be at the helm of engineering solutions that define the future.

In this pivotal role, you will bridge the gap between theoretical machine learning models and scalable production infrastructure. You will lead a world-class team of engineers and data scientists, pushing the boundaries of what is possible in generative AI, neural networks, and autonomous systems.

Join us in shaping the digital infrastructure of tomorrow.

Responsibilities

  • Architectural Leadership: Design and oversee the end-to-end architecture of large-scale AI systems, ensuring scalability, security, and performance for the 2026 roadmap.
  • Model Development: Spearhead the development and fine-tuning of advanced Large Language Models (LLMs) and neural architectures.
  • Team Mentorship: Provide technical guidance and mentorship to junior engineers and data scientists, fostering a culture of innovation and excellence.
  • Strategic Planning: Collaborate with product and engineering leadership to define technical strategies and roadmaps for future AI products.
  • Ethical AI: Establish and enforce guidelines for ethical AI development, ensuring fairness, transparency, and accountability in automated systems.
  • Performance Optimization: Continuously optimize inference speeds and reduce latency in real-time AI applications.

Qualifications

  • Education: Master’s or PhD in Computer Science, Artificial Intelligence, or a related field.
  • Experience: Minimum of 8+ years of experience in software engineering and machine learning, with at least 3 years in a senior architectural or lead role.
  • Technical Skills: Deep expertise in Python, TensorFlow, PyTorch, and distributed computing frameworks.
  • System Design: Proven track record of designing complex, fault-tolerant systems at scale.
  • Leadership: Demonstrated ability to lead cross-functional teams and drive projects from conception to deployment.
  • Vision: Strong passion for emerging technologies and the ability to anticipate future trends in the AI landscape.

Required Skills

Artificial Intelligence Machine Learning Python TensorFlow PyTorch System Design Leadership Distributed Systems Neural Networks

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