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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect - Project 2026

Nexus Horizon Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
26 Mei 2026
Deadline
26 Mei 2027

Job Description

Shape the Future. Nexus Horizon Technologies is on a mission to engineer the infrastructure for the year 2026 and beyond. We are seeking a visionary Senior AI Architect to lead our revolutionary research division.

In this pivotal role, you won't just maintain legacy systems; you will architect the neural frameworks that will power the next decade of human-machine interaction. If you thrive in ambiguity and possess a deep understanding of cutting-edge predictive algorithms, this is your opportunity to leave a lasting legacy.

Why Join Us?

  • Work on a Project 2026 initiative that defines the standard for future AI.
  • Competitive compensation package with equity options.
  • Remote-first culture with hubs in San Francisco and New York.

Responsibilities

  • Design and implement scalable, high-performance neural network architectures tailored for 2026 predictive models.
  • Lead a cross-functional team of data scientists and engineers in defining the technical roadmap for the upcoming fiscal year.
  • Oversee the integration of advanced Machine Learning models into real-time production environments.
  • Conduct rigorous research into emerging AI paradigms, including Generative Adversarial Networks (GANs) and Transformer variants.
  • Ensure data integrity, security, and ethical AI compliance across all 2026 infrastructure projects.
  • Mentor junior developers and foster a culture of continuous innovation and technical excellence.

Qualifications

  • Master’s or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
  • Minimum of 8 years of professional experience in software engineering, with at least 4 years focused on AI/ML architecture.
  • Deep expertise in Python, PyTorch, TensorFlow, or similar deep learning frameworks.
  • Proven track record of deploying large-scale ML systems that handle petabytes of data.
  • Strong understanding of cloud infrastructure (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
  • Exceptional problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Python Machine Learning Artificial Intelligence Neural Networks Deep Learning PyTorch TensorFlow AWS GCP Docker Kubernetes SQL Data Engineering Cloud Architecture

Ready to Take This Challenge?

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