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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect & Neural Network Designer

Nexus Horizon Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 280.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Nexus Horizon Technologies is pioneering the next generation of artificial intelligence. As we approach the 2026 technological horizon, we are seeking a visionary Senior AI Architect to lead the design and deployment of our advanced neural network ecosystems.

In this pivotal role, you will be responsible for architecting scalable machine learning systems that drive our core product suite. You will bridge the gap between theoretical research and practical application, ensuring our AI solutions are robust, ethical, and transformative.

Why join us?

  • Work on groundbreaking projects that define the future of tech.
  • Competitive compensation package with equity options.
  • Flexible remote-first policy with state-of-the-art equipment.

Responsibilities

  • Design and implement complex neural network architectures tailored for high-scale data processing.
  • Optimize deep learning models for latency, accuracy, and resource efficiency.
  • Lead the MLOps pipeline, ensuring seamless CI/CD for machine learning models.
  • Research and prototype emerging AI paradigms including Generative AI and Reinforcement Learning.
  • Mentor and guide a team of data scientists and machine learning engineers.
  • Collaborate with product managers to translate business requirements into technical AI solutions.
  • Ensure compliance with AI ethics, safety, and bias mitigation standards.

Qualifications

  • Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related quantitative field.
  • Minimum of 7 years of experience in Machine Learning, Deep Learning, or NLP.
  • Expert proficiency in Python, PyTorch, TensorFlow, and Scikit-learn.
  • Proven experience deploying LLMs and large-scale transformer models in production environments.
  • Strong understanding of cloud infrastructure (AWS, Azure, or GCP) and containerization (Docker, Kubernetes).
  • Familiarity with vector databases and semantic search technologies.
  • Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Python Machine Learning Deep Learning Neural Networks NLP PyTorch TensorFlow MLOps AWS Kubernetes Generative AI

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