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Senior AI Architect - 2026 Horizon Initiative

Quantum Horizon Solutions
San Francisco
Estimated Salary
USD 160.000 – USD 220.000
Live Update
17 Mei 2026
Deadline
17 Mei 2027

Job Description

We are seeking a visionary Senior AI Architect to spearhead the 2026 Horizon Initiative. At Quantum Horizon Solutions, we are not just building software; we are engineering the future of human-machine interaction. In this pivotal role, you will design scalable, high-performance artificial intelligence systems that will define the technological landscape of the next decade.

Your expertise will bridge the gap between theoretical research and practical deployment, ensuring our solutions are robust, ethical, and ahead of the curve. You will work in a collaborative environment that values innovation, speed, and technical excellence.

Responsibilities

  • Architectural Leadership: Design and implement core AI infrastructure and frameworks for the 2026 Horizon project.
  • Research & Development: Stay at the forefront of AI trends, specifically focusing on Generative AI and Neural Networks applicable to 2026.
  • System Optimization: Oversee the deployment of machine learning models, ensuring high throughput and low latency.
  • Team Mentorship: Lead a team of junior engineers and data scientists, fostering a culture of continuous learning.
  • Strategic Planning: Define the technical roadmap for AI integration within our core product suite.
  • Ethical AI: Implement governance frameworks to ensure AI outputs are unbiased and safe.

Qualifications

  • Education: Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related technical field.
  • Experience: 7+ years of experience in software engineering, with at least 3 years focused on AI/ML architecture.
  • Technical Skills: Proficiency in Python, PyTorch, TensorFlow, and distributed computing systems.
  • Leadership: Proven track record of leading technical teams and managing cross-functional projects.
  • Innovation: Demonstrated ability to innovate and deliver complex solutions in fast-paced environments.
  • Communication: Excellent verbal and written communication skills for stakeholder management.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning Distributed Systems Cloud Architecture AI Ethics Leadership

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