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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
28 Juni 2026
Deadline
28 Jun 2027

Job Description

Are you ready to architect the next generation of intelligent systems? Nexus Horizon Technologies is seeking a visionary Senior AI Architect (2026 Vision) to lead our R&D initiatives. We are building the foundational models that will define the technological landscape of the future.

In this role, you will bridge the gap between theoretical AI research and scalable production systems. You will work alongside world-class researchers and engineers to deploy cutting-edge Large Language Models (LLMs) and autonomous agents that solve complex real-world problems.

Why join us?

  • Work on projects that push the boundaries of what is possible.
  • Competitive compensation and equity packages.
  • Flexible remote-first culture.
  • Access to the latest hardware and research tools.

Responsibilities

  • Design and implement scalable machine learning architectures capable of handling petabyte-scale data.
  • Lead the research and development of proprietary AI models tailored for 2026 market needs.
  • Optimize model inference latency and cost efficiency using distributed computing frameworks.
  • Collaborate with cross-functional teams (Product, Engineering, Design) to integrate AI capabilities seamlessly.
  • Mentor junior engineers and establish best practices for MLOps and model governance.
  • Stay ahead of the curve on emerging AI trends, including Generative AI, Reinforcement Learning, and Quantum AI interfaces.

Qualifications

  • Master’s or PhD in Computer Science, Mathematics, or a related field with a focus on Artificial Intelligence.
  • 5+ years of professional experience in building and deploying production-level machine learning systems.
  • Strong proficiency in Python, PyTorch, and TensorFlow.
  • Deep understanding of NLP, Computer Vision, or Reinforcement Learning.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
  • Demonstrated ability to lead technical projects from conception to deployment.

Required Skills

Python Machine Learning Deep Learning PyTorch TensorFlow NLP MLOps AWS GCP Docker Kubernetes AI Architecture

Ready to Take This Challenge?

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