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Lead AI Architect - 2026 Protocol

Quantum Horizon Labs
San Francisco
Estimated Salary
USD 160.000 – USD 240.000
New
Live Update
31 Mei 2026
Deadline
31 Mei 2027

Job Description

We are seeking a visionary Lead AI Architect to spearhead the development of the core intelligence systems that will define the technological landscape of 2026. At Quantum Horizon Labs, we are building the infrastructure for a future where autonomous decision-making and predictive modeling are seamless. You will be at the forefront of engineering breakthroughs, working on next-generation neural networks and quantum-assisted algorithms.

Why Join Us?

  • Work on projects that have a direct impact on the future of global tech.
  • Competitive compensation and equity package.
  • Access to cutting-edge hardware and quantum computing resources.
  • Collaborate with a world-class team of engineers and researchers.

Responsibilities

  • Design and implement scalable AI architectures capable of processing petabytes of real-time data streams.
  • Lead research and development initiatives focused on Generative AI, LLMs, and autonomous agents for 2026 deployment.
  • Collaborate with product managers and hardware engineers to integrate AI solutions into next-generation consumer electronics.
  • Optimize deep learning models for deployment on edge devices and quantum processors.
  • Establish best practices for code quality, security, and ethical AI governance.
  • Mentor and guide a team of senior and junior data scientists and engineers.
  • Conduct technical reviews and drive architectural decisions across the organization.

Qualifications

  • PhD or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
  • Minimum of 7 years of professional experience in AI/ML engineering, with at least 2 years in a leadership or architectural role.
  • Expert proficiency in Python, TensorFlow, PyTorch, and CUDA.
  • Strong understanding of distributed systems, cloud infrastructure (AWS, GCP, or Azure), and containerization (Docker/Kubernetes).
  • Experience with quantum computing frameworks (e.g., Qiskit, Cirq) or neuromorphic hardware is highly desirable.
  • Proven track record of delivering complex, high-performance software products to market.
  • Exceptional problem-solving skills and ability to thrive in a fast-paced, ambiguous startup environment.

Required Skills

Python TensorFlow PyTorch CUDA Machine Learning Deep Learning Distributed Systems Cloud Computing Quantum Computing Leadership AWS GCP Docker Kubernetes

Ready to Take This Challenge?

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