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Lead AI Architect – Year 2026 Vision

Horizon AI Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
12 Mei 2026
Deadline
12 Mei 2027

Job Description

Are you ready to shape the future of technology? Horizon AI Systems is seeking a visionary Lead AI Architect to spearhead our Year 2026 strategic initiative. In this role, you will architect the next generation of generative AI and predictive modeling systems designed to solve complex global challenges.

Our mission is to accelerate the transition into the future of work by building scalable, ethical, and powerful AI infrastructures. You will work at the intersection of deep learning, system engineering, and futuristic product design.

Responsibilities

  • Define the high-level architecture for the 2026 AI roadmap, ensuring scalability and fault tolerance.
  • Lead a cross-functional team of ML engineers and data scientists to implement advanced neural networks.
  • Collaborate with product leadership to translate futuristic concepts into executable technical strategies.
  • Optimize existing models for reduced latency and increased inference accuracy.
  • Establish best practices for AI governance, ethics, and data security.
  • Research emerging technologies in quantum computing and edge AI to integrate into our stack.

Qualifications

  • PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related quantitative field.
  • 10+ years of experience in software development and machine learning engineering.
  • Proven track record of designing systems handling petabytes of data.
  • Expert proficiency in Python, PyTorch, TensorFlow, and distributed computing frameworks (e.g., Kubernetes, Apache Spark).
  • Strong understanding of Generative Adversarial Networks (GANs) and Large Language Models (LLMs).
  • Exceptional leadership skills with experience mentoring high-performing technical teams.

Required Skills

Python Machine Learning Artificial Intelligence System Design TensorFlow PyTorch Kubernetes Leadership Neural Networks Data Architecture

Ready to Take This Challenge?

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