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Senior AI Architect (2026 Vision)

Nexus Horizon
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

We are seeking a visionary Senior AI Architect (2026 Vision) to lead the technical direction of our next-generation AI infrastructure. Nexus Horizon is at the forefront of the 2026 technological revolution, building systems that redefine human-machine interaction. You will be responsible for architecting scalable, secure, and cutting-edge AI solutions that will power our roadmap for years to come.

In this role, you will bridge the gap between theoretical AI research and production-grade engineering, ensuring our platform remains ahead of the curve in the rapidly evolving landscape of 2026.

Responsibilities

  • Define and execute the technical roadmap for AI capabilities through 2026, ensuring alignment with business objectives.
  • Design and implement scalable machine learning pipelines and deep learning architectures for large-scale deployment.
  • Lead a team of talented engineers and data scientists to innovate on transformer models and generative AI workflows.
  • Collaborate with product leaders to translate complex 2026 roadmap requirements into technical specifications.
  • Optimize model performance and reduce latency in high-traffic environments.
  • Establish best practices for AI ethics, security, and compliance within the organization.

Qualifications

  • Master’s or PhD in Computer Science, Machine Learning, or a related technical field (5+ years of experience).
  • Extensive experience with deep learning frameworks (PyTorch, TensorFlow) and large language models (LLMs).
  • Proven track record of architecting high-availability systems in cloud environments (AWS, GCP, or Azure).
  • Strong programming skills in Python, C++, or Rust.
  • Experience with MLOps, model deployment, and continuous integration/continuous delivery (CI/CD) pipelines.
  • Exceptional problem-solving skills and the ability to thrive in a fast-paced, innovative environment.

Required Skills

Python TensorFlow PyTorch AWS MLOps Machine Learning Deep Learning LLMs System Architecture

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