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Senior AI Architect - 2026 Horizon Initiative

Horizon Core Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Join Horizon Core Systems as a Senior AI Architect and help define the technological landscape of 2026. We are building the infrastructure for a future where artificial intelligence seamlessly integrates with human potential. You will lead the technical vision for our flagship '2026 Horizon Initiative,' focusing on next-generation Large Language Models and autonomous neural networks.

This role is not for the faint of heart. It requires a deep understanding of scalable systems, ethical AI governance, and a passion for solving complex problems that have no existing solution.

Responsibilities

  • Architect the Future: Design and implement the core architecture for the 2026 Horizon AI suite, ensuring scalability, security, and performance.
  • Lead Innovation: Spearhead research into emerging AI paradigms, including quantum machine learning and brain-computer interfaces.
  • Technical Mentorship: Guide a team of elite engineers and data scientists, fostering a culture of excellence and continuous learning.
  • Policy & Ethics: Establish and enforce ethical guidelines for AI deployment, ensuring our systems align with global safety standards.
  • Strategic Roadmap: Collaborate with executive leadership to translate business goals into technical roadmaps for the next decade.

Qualifications

  • Education: Ph.D. or Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.
  • Experience: 8+ years of experience in software engineering, with at least 4 years in leading AI/ML architecture roles.
  • Technical Mastery: Deep proficiency in Python, TensorFlow/PyTorch, and distributed systems (Kubernetes, AWS/Azure).
  • Visionary Mindset: Proven track record of delivering innovative solutions that push the boundaries of current technology.
  • Communication: Exceptional ability to communicate complex technical concepts to non-technical stakeholders and executive leadership.

Required Skills

Artificial Intelligence Machine Learning Python TensorFlow Kubernetes AWS System Architecture Leadership Quantum Computing Neural Networks

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