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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 Mei 2026
Deadline
12 Mei 2027

Job Description

Shape the Future of Autonomous Intelligence

We are at the forefront of defining the technological landscape for the year 2026 and beyond. Nexus Horizon Technologies is seeking a visionary Senior AI Architect to lead our research and development in Artificial General Intelligence (AGI) and autonomous decision-making systems.

In this role, you will not just build models; you will architect the cognitive frameworks that will power the next generation of intelligent machines. You will work in a high-performance environment focused on scalability, ethical AI, and real-world deployment.

Why Join Us?

  • Work on cutting-edge projects with a competitive salary package.
  • Access to top-tier hardware and research facilities.
  • Remote-first culture with opportunities for hybrid collaboration.

Responsibilities

  • Design and implement scalable, high-performance neural network architectures for autonomous agents.
  • Lead the research and development of proprietary algorithms for Large Language Models (LLMs) and reinforcement learning.
  • Collaborate with cross-functional teams of engineers, ethicists, and product managers to define product roadmap requirements.
  • Mentor junior data scientists and engineers, fostering a culture of innovation and technical excellence.
  • Optimize model inference speed and reduce latency for edge deployment in 2026-ready hardware.
  • Ensure all AI systems adhere to strict data privacy and ethical AI guidelines.

Qualifications

  • PhD or Master’s degree in Computer Science, Machine Learning, or a related technical field.
  • Minimum of 8 years of experience in AI/ML engineering, with a focus on deep learning frameworks (PyTorch, TensorFlow, JAX).
  • Proven experience architecting systems that handle petabytes of data with low latency.
  • Expertise in C++, CUDA, and distributed computing systems.
  • Strong understanding of natural language processing, computer vision, or multi-modal learning paradigms.
  • Demonstrated ability to lead technical strategy and drive innovation in complex environments.

Required Skills

Python C++ CUDA PyTorch TensorFlow Deep Learning Machine Learning Distributed Systems NLP Computer Vision AGI Reinforcement Learning Edge Computing

Ready to Take This Challenge?

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