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Lead AGI Architect (2026 Vision)

Nexus Future Systems
San Francisco
Estimated Salary
USD 250.000 – USD 400.000
New
Live Update
5 Juli 2026
Deadline
5 Jul 2027

Job Description

We are at the forefront of the next technological revolution. Nexus Future Systems is seeking a visionary Lead AGI Architect to design and implement the foundational architecture for our Artificial General Intelligence roadmap leading up to the year 2026.


In this high-impact role, you will bridge the gap between theoretical research and production-grade systems. You will be responsible for defining the blueprint that allows our AI agents to reason, learn, and operate autonomously in complex, dynamic environments. If you are passionate about the future of machine consciousness and building systems that will define the era of 2026, we want to hear from you.


Why Join Us?

  • Shape the future of AI from the ground up.
  • Work with cutting-edge technology and top-tier talent.
  • Competitive compensation and equity package.

Responsibilities

  • Architect scalable, robust, and secure AGI frameworks designed for the 2026 landscape.
  • Lead the technical vision for self-improving machine learning models and neural architecture search.
  • Define and enforce best practices for safety, ethics, and alignment in advanced AI systems.
  • Collaborate with cross-functional teams (Research, Product, Security) to integrate AGI capabilities into consumer applications.
  • Drive the migration from traditional NLP to next-generation reasoning engines.
  • Mentor and develop a high-performing engineering team of ML researchers and engineers.

Qualifications

  • PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related quantitative field.
  • 10+ years of experience in machine learning engineering, with at least 3 years in a leadership or architect role.
  • Deep expertise in deep learning frameworks (PyTorch, TensorFlow, JAX) and distributed computing systems.
  • Proven track record of delivering large-scale AI products to market.
  • Strong understanding of LLM architecture, transformer models, and multi-modal learning.
  • Excellent communication skills with the ability to translate complex technical concepts for diverse stakeholders.

Required Skills

AGI Artificial General Intelligence Machine Learning Deep Learning System Architecture Python PyTorch TensorFlow NLP AI Research Distributed Systems Leadership

Ready to Take This Challenge?

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