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Lead AI Architect: 2026 Horizon Initiative

Nexus Future Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
25 Mei 2026
Deadline
25 Mei 2027

Job Description

Join Nexus Future Systems as a Lead AI Architect to define the infrastructure of tomorrow. We are at the forefront of the 2026 Horizon Initiative, a groundbreaking program dedicated to developing autonomous, ethical, and scalable Artificial General Intelligence (AGI). This is a rare opportunity for a visionary technologist to lead a world-class engineering team in building the systems that will power the future of humanity.

As the Lead AI Architect, you will be responsible for the architectural vision, technical strategy, and execution of our next-generation neural networks. You will bridge the gap between theoretical research and production-grade software, ensuring our systems are robust, secure, and capable of adapting to the evolving landscape of 2026 and beyond.

Responsibilities

  • Architect and lead the development of scalable, high-performance AI systems for the 2026 Horizon Initiative.
  • Define the technical roadmap and engineering standards for our core machine learning infrastructure.
  • Collaborate with cross-functional teams including researchers, product managers, and security experts.
  • Mentor and guide a team of senior engineers and data scientists.
  • Optimize existing algorithms and infrastructure to support real-time, large-scale data processing.
  • Ensure compliance with ethical AI guidelines and data privacy regulations (GDPR/CCPA).

Qualifications

  • 10+ years of experience in software engineering, with at least 5 years in AI/ML architecture.
  • Deep expertise in Python, C++, and major frameworks (PyTorch, TensorFlow, JAX).
  • Proven track record of designing distributed systems capable of handling petabyte-scale data.
  • Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.
  • Strong understanding of Large Language Models (LLMs), transformer architectures, and reinforcement learning.
  • Exceptional leadership skills with a focus on fostering a collaborative and innovative engineering culture.

Required Skills

Python TensorFlow PyTorch AWS Kubernetes System Design Machine Learning Natural Language Processing Distributed Systems Leadership

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