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Senior AI Architect (2026 Vision)

Nexus Horizon Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
12 Juli 2026
Deadline
12 Jul 2027

Job Description

We are Nexus Horizon Technologies, a pioneering research lab defining the future of Artificial General Intelligence (AGI). As we look toward the technological landscape of 2026, we are seeking a visionary Senior AI Architect to lead our core infrastructure development.

In this role, you won't just be maintaining models; you will architect the systems that will power autonomous decision-making, ethical AI frameworks, and next-gen neural interfaces. We offer a competitive compensation package, fully remote flexibility, and the opportunity to shape the definition of intelligence itself.

Responsibilities

  • Architect Neural Frameworks: Design and implement scalable, high-performance neural architectures for 2026-ready AGI models.
  • Optimization Research: Lead research initiatives to reduce inference latency and improve model efficiency on edge devices.
  • System Integration: Integrate complex multimodal data streams into unified AI systems with zero-trust security protocols.
  • Prototype Development: Build rapid prototypes of self-improving algorithms capable of autonomous code generation and debugging.
  • Technical Mentorship: Mentor junior engineers and researchers, fostering a culture of innovation and deep technical excellence.
  • Policy Compliance: Ensure all AI outputs adhere to emerging global ethical guidelines and safety standards for autonomous agents.

Qualifications

  • Education: PhD or Master’s degree in Computer Science, Mathematics, or a related field with a focus on AI/ML.
  • Experience: 5+ years of professional experience building large-scale machine learning systems or working on frontier AI research.
  • Technical Stack: Proficiency in Python, PyTorch, TensorFlow, and distributed computing systems (Kubernetes, Ray).
  • Deep Learning: Extensive knowledge of Deep Reinforcement Learning, NLP, and Computer Vision architectures.
  • Problem Solving: Demonstrated ability to solve complex, open-ended technical problems with innovative solutions.
  • Communication: Excellent written and verbal communication skills for technical documentation and stakeholder presentations.

Required Skills

Python PyTorch TensorFlow Deep Learning Machine Learning Engineering NLP Reinforcement Learning System Architecture Kubernetes Research

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