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Lead AI Architect (2026 Vision)

Nexus Horizon AI
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
4 Juli 2026
Deadline
4 Jul 2027

Job Description

Are you ready to architect the future of intelligence? Nexus Horizon AI is seeking a visionary Lead AI Architect to spearhead the development of our proprietary AGI systems for the 2026 era. We are building the foundational layers of a new reality, and we need a technical leader who thrives on ambiguity and innovation.

In this role, you will bridge the gap between theoretical breakthroughs and scalable production systems. You will define the architectural standards for our neural networks, ensuring they are robust, ethical, and capable of evolving alongside human needs.

Responsibilities

  • Design and implement scalable machine learning infrastructures capable of supporting next-generation Large Language Models and multimodal agents.
  • Lead a team of elite data scientists and engineers in researching novel neural architectures and reinforcement learning strategies.
  • Define the technical roadmap for our 2026 roadmap, ensuring alignment with long-term AGI development goals.
  • Oversee the integration of ethical constraints and safety protocols directly into the model training pipeline.
  • Collaborate with product and engineering teams to translate complex AI capabilities into intuitive user experiences.
  • Optimize system latency and throughput for real-time inference in distributed computing environments.

Qualifications

  • Master’s or PhD in Computer Science, Artificial Intelligence, Cognitive Science, or a related technical field.
  • 10+ years of experience in software engineering, with at least 5 years specifically in designing and deploying AI/ML systems at scale.
  • Deep expertise in deep learning frameworks such as PyTorch, TensorFlow, or JAX.
  • Proven experience leading cross-functional teams and mentoring junior engineers.
  • Strong understanding of distributed systems, cloud architecture (AWS/Azure/GCP), and high-performance computing.
  • Experience with quantum computing principles is a significant plus.

Required Skills

Machine Learning Deep Learning Python PyTorch Distributed Systems Cloud Architecture AGI Reinforcement Learning Leadership TensorFlow Natural Language Processing

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