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Lead AI Architect (2026 Vision)

Quantum Horizon Inc.
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Are you ready to define the technology of tomorrow?

Quantum Horizon Inc. is pioneering the future of artificial intelligence and predictive modeling. As we accelerate towards our 2026 Vision, we are seeking a visionary Lead AI Architect to design the next generation of autonomous systems and intelligent infrastructure.

In this role, you won't just maintain legacy systems; you will architect the foundation for a smarter world. You will work at the intersection of deep learning, neural networks, and ethical AI, ensuring our solutions are robust, scalable, and transformative.

Why join us? We offer competitive compensation, equity packages, and the opportunity to work on projects that will define the industry standard for the next decade.

Responsibilities

  • Architect and lead the development of high-performance AI models for the 2026 roadmap, focusing on predictive analytics and neural networks.
  • Design scalable machine learning pipelines and infrastructure to handle big data processing in real-time.
  • Collaborate with cross-functional R&D teams to integrate AI solutions into core product ecosystems.
  • Mentor junior engineers and data scientists, fostering a culture of innovation and continuous learning.
  • Ensure all AI systems adhere to strict ethical guidelines and data privacy regulations.
  • Conduct research on cutting-edge algorithms to stay ahead of industry trends.

Qualifications

  • Master’s or Ph.D. degree in Computer Science, Artificial Intelligence, or a related technical field.
  • Minimum of 7 years of experience in AI/ML engineering, with at least 3 years in a leadership or architectural role.
  • Proficiency in programming languages such as Python, TensorFlow, PyTorch, and Java.
  • Deep understanding of Natural Language Processing (NLP) and Computer Vision.
  • Experience deploying AI models in cloud environments (AWS, GCP, or Azure).
  • Strong problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Python Machine Learning Deep Learning Artificial Intelligence TensorFlow PyTorch NLP Computer Vision AWS GCP Leadership System Design

Ready to Take This Challenge?

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