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Senior AI Architect (2026 Vision)

Quantum Horizon Labs
Cupertino
Estimated Salary
USD 160.000 – USD 230.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Quantum Horizon Labs is at the forefront of defining the technological landscape for the year 2026. We are seeking a visionary Senior AI Architect to lead our R&D initiatives in next-generation machine learning systems. In this role, you will design scalable neural architectures that push the boundaries of what is possible in AI, ensuring our solutions are robust, ethical, and future-proof.

Join us in shaping the future of intelligence and be part of a team that is not just building for today, but architecting for 2026 and beyond.

Responsibilities

  • Lead the architectural design and implementation of cutting-edge AI models, focusing on generative AI and deep reinforcement learning.
  • Define the technical roadmap for our 2026 product suite, ensuring alignment with business goals and emerging market trends.
  • Collaborate with cross-functional teams to integrate AI solutions into core products, optimizing for performance and scalability.
  • Mentor and guide junior engineers and data scientists, fostering a culture of innovation and technical excellence.
  • Conduct rigorous research and proof-of-concept studies to validate new algorithms and hardware-software co-designs.
  • Ensure all AI systems adhere to strict ethical guidelines, data privacy standards, and regulatory compliance.
  • Present technical strategies and architectural decisions to executive leadership to drive strategic alignment.

Qualifications

  • Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related technical field.
  • 10+ years of experience in software engineering and machine learning, with at least 5 years in a senior architectural role.
  • Deep expertise in Python, PyTorch, TensorFlow, and modern cloud infrastructure (AWS, GCP, or Azure).
  • Proven track record of deploying large-scale, production-ready AI systems.
  • Strong understanding of LLMs, transformer architectures, and computer vision technologies.
  • Excellent problem-solving skills and the ability to thrive in a fast-paced, innovative environment.
  • Experience with quantum computing concepts is a strong plus.

Required Skills

Python TensorFlow PyTorch Machine Learning Deep Learning Cloud Architecture AWS GCP Generative AI LLMs Data Structures Algorithm Design

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