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Lead AI Architect - 2026 Roadmap

Nexus Horizon Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
15 Mei 2026
Deadline
15 Mei 2027

Job Description

Shape the Future of Intelligence.

Nexus Horizon Technologies is at the forefront of defining the 2026 technological landscape. We are seeking a visionary Lead AI Architect to spearhead our next-generation neural architecture initiatives. In this pivotal role, you will bridge the gap between theoretical breakthroughs and scalable production systems, ensuring our AI infrastructure remains decades ahead of the curve.

You will be responsible for architecting the core frameworks that will power our predictive models and autonomous systems in the 2026 era. If you are passionate about pushing the boundaries of machine learning and have a knack for high-level strategic planning, we want to hear from you.

Responsibilities

  • Define the 2026 Technical Roadmap: Architect and lead the strategic technical vision for our AI ecosystem, focusing on AGI-readiness and sustainable computing.
  • Design Next-Gen Neural Networks: Develop proprietary architectures that outperform current state-of-the-art models in efficiency and accuracy.
  • Oversee System Scalability: Ensure our AI infrastructure can handle petabyte-scale data processing with sub-millisecond latency.
  • Lead Interdisciplinary Teams: Mentor a team of senior engineers and data scientists, fostering a culture of innovation and technical excellence.
  • Ensure Ethical AI Governance: Implement robust frameworks to ensure AI transparency, safety, and compliance with emerging global standards.

Qualifications

  • Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
  • 10+ years of experience in AI/ML engineering, with at least 3 years in a senior architectural leadership role.
  • Deep expertise in Deep Learning frameworks (PyTorch, TensorFlow) and Large Language Model (LLM) architecture.
  • Proven track record of delivering complex AI systems in production environments.
  • Strong understanding of Quantum Computing principles and their integration with classical AI.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning Cloud Architecture Leadership System Design Neural Networks Data Structures

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