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Senior AI Architect - The 2026 Horizon Initiative

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

Job Description

Join Nexus Horizon Systems, a frontier research organization dedicated to defining the technological landscape of the year 2026. We are seeking a visionary Senior AI Architect to spearhead our flagship initiative aimed at achieving General Artificial Intelligence (AGI) by the target year.

In this role, you will not just build software; you will architect the cognitive infrastructure of tomorrow. You will collaborate with a world-class team of neuroscientists, quantum engineers, and data scientists to develop next-generation Large Language Models and autonomous decision-making systems.

Why join us?

We offer competitive equity packages, a flexible remote-first culture, and the opportunity to leave a permanent mark on human history. If you are driven by the challenge of what is possible in 2026 and beyond, we want to hear from you.

Responsibilities

  • Lead Architectural Vision: Define and execute the technical roadmap for the 2026 AGI Initiative, ensuring scalability and ethical alignment.
  • Model Development: Design and implement proprietary deep learning architectures capable of reasoning, learning, and adapting in real-time.
  • Team Leadership: Mentor senior engineers and data scientists, fostering a culture of innovation and excellence.
  • System Optimization: Oversee the deployment of high-performance inference pipelines and optimize resource allocation for massive scale.
  • R&D Collaboration: Bridge the gap between theoretical research and practical engineering applications.

Qualifications

  • Education: PhD or Master’s degree in Computer Science, Mathematics, or a related field with a focus on Artificial Intelligence.
  • Experience: Minimum 8+ years of experience in building production-grade AI systems, with at least 3 years in a senior leadership role.
  • Technical Skills: Deep expertise in Python, PyTorch/TensorFlow, and distributed computing systems (Kubernetes/Spark).
  • Knowledge: Proven track record in developing Large Language Models (LLMs) and implementing Reinforcement Learning from Human Feedback (RLHF).
  • Soft Skills: Exceptional communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.

Required Skills

Python PyTorch TensorFlow Machine Learning Deep Learning Distributed Systems LLMs Reinforcement Learning Kubernetes SQL Agile Methodologies

Ready to Take This Challenge?

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