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Information Technology 🏒 Full Time ⭐️ Verified

AI 2.0 Lead Architect

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 190.000 – USD 250.000
New
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Join Nexus Horizon Labs, a pioneering research organization dedicated to defining the technological landscape of 2026 and beyond. We are seeking a visionary AI 2.0 Lead Architect to spearhead the development of the next generation of artificial intelligence systems. This is a unique opportunity to shape the ethical, scalable, and intelligent future of our platform.

In this role, you will bridge the gap between theoretical research and practical engineering, driving the adoption of advanced machine learning paradigms. You will lead a team of elite engineers and data scientists, ensuring our AI architecture is robust, secure, and future-proof.

Why Join Us?

  • Work on cutting-edge AI 2.0 technologies that will define the industry.
  • Competitive compensation and equity package.
  • Flexible remote-first culture with premium benefits.
  • Opportunity to mentor the next generation of technical leaders.

Responsibilities

  • Architect and design scalable AI 2.0 infrastructure, ensuring high availability and performance.
  • Lead the research and implementation of next-generation algorithms, including generative models and autonomous agents.
  • Define technical roadmaps for AI evolution, aligning with the company's vision for 2026.
  • Collaborate with cross-functional teams (product, legal, and design) to ensure AI safety and ethical compliance.
  • Mentor and develop a high-performing engineering team, fostering a culture of innovation and continuous learning.
  • Conduct rigorous code reviews and system architecture assessments to maintain code quality.

Qualifications

  • Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related field.
  • 10+ years of experience in software engineering, with at least 5 years in a Lead Architect or Senior Engineering role.
  • Deep expertise in AI 2.0 concepts, including Large Language Models (LLMs), Transformer architectures, and reinforcement learning.
  • Proven track record of deploying large-scale machine learning systems to production.
  • Strong understanding of MLOps, cloud architectures (AWS/Azure/GCP), and distributed systems.
  • Exceptional leadership skills with a demonstrated ability to manage diverse technical teams.

Required Skills

AI 2.0 Machine Learning Deep Learning MLOps System Architecture Python PyTorch TensorFlow AWS Cloud Computing Leadership Strategy

Ready to Take This Challenge?

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