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Senior AI Architect - San Francisco, CA

Nexus Horizon Systems
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

Nexus Horizon Systems is pioneering the next evolution of intelligent interfaces. As we accelerate toward our 2026 vision, we are seeking a visionary Senior AI Architect to design the neural frameworks that will define the future of human-machine collaboration.

In this role, you will not just build models; you will architect the very fabric of our next-generation operating systems. You will work at the intersection of deep learning, predictive analytics, and quantum-ready algorithms. If you are driven by the challenge of solving complex problems at scale and want to be at the forefront of technological disruption, we want to hear from you.

Responsibilities

  • Design and deploy scalable, high-performance neural network architectures tailored for 2026 predictive modeling requirements.
  • Lead the research and implementation of cutting-edge algorithms to enhance real-time decision-making capabilities.
  • Optimize existing AI pipelines for latency reduction and computational efficiency in cloud and edge environments.
  • Collaborate with cross-functional engineering teams to integrate AI solutions seamlessly into core product ecosystems.
  • Define best practices for ethical AI, ensuring transparency and bias mitigation in all model outputs.
  • Mentor junior engineers and data scientists, fostering a culture of technical excellence and innovation.

Qualifications

  • Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
  • Minimum of 8 years of professional experience in designing and deploying large-scale machine learning systems.
  • Deep proficiency in Python, C++, and at least one major deep learning framework (TensorFlow, PyTorch, JAX).
  • Strong understanding of transformer models, generative AI, and reinforcement learning paradigms.
  • Experience with distributed computing systems (Kubernetes, Docker, AWS, GCP) and high-availability architecture.
  • Excellent problem-solving skills and the ability to thrive in a fast-paced, agile startup environment.

Required Skills

Artificial Intelligence Machine Learning Python C++ Neural Networks Deep Learning Cloud Architecture TensorFlow PyTorch Kubernetes

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