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Lead AI Architect (2026 Vision)

Nexus Horizon
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
28 Juni 2026
Deadline
28 Jun 2027

Job Description

We are seeking a visionary Lead AI Architect to define the technological roadmap for 2026 and beyond. As a pioneer in the field, you will architect next-generation neural networks, integrating quantum-ready algorithms into scalable cloud infrastructures. This is a unique opportunity to shape the ethical and functional future of AI, working alongside world-class researchers and engineers to solve humanity's most complex challenges.

Why Join Nexus Horizon?

You will have the autonomy to experiment with cutting-edge technologies, including generative adversarial networks (GANs) and neuromorphic computing. We offer a remote-first culture with access to state-of-the-art labs in the heart of Silicon Valley.

Responsibilities

  • Design and oversee the implementation of enterprise-grade AI architectures designed for the 2026 technological landscape.
  • Lead a cross-functional team of data scientists and engineers in developing proprietary machine learning models.
  • Establish and enforce AI governance frameworks, ensuring ethical standards and regulatory compliance.
  • Translate complex business requirements into scalable technical roadmaps for future product iterations.
  • Conduct in-depth research into emerging paradigms such as Large Language Models (LLMs) and autonomous agents.
  • Mentor junior staff and foster a culture of continuous innovation and technical excellence.

Qualifications

  • PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.
  • 10+ years of experience in software engineering, with at least 5 years in senior AI architecture roles.
  • Deep proficiency in Python, PyTorch, TensorFlow, and distributed computing systems.
  • Proven experience leading high-impact R&D projects from concept to deployment.
  • Strong understanding of AI ethics, bias mitigation, and the socio-technical implications of autonomous systems.
  • Excellent communication skills with the ability to present technical concepts to non-technical stakeholders.

Required Skills

Artificial Intelligence Machine Learning Python Neural Networks Cloud Architecture AI Ethics Distributed Systems Quantum Computing Research

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