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Senior AI Architect (2026 Vision) - San Francisco

Nexus Horizon Systems
San Francisco
Estimated Salary
USD 190.000 – USD 260.000
Live Update
29 Juni 2026
Deadline
29 Jun 2027

Job Description

We are looking for a visionary Senior AI Architect to define the technological blueprint for our operations through 2026. In this pivotal role, you will lead the charge in integrating advanced Artificial Intelligence and Machine Learning systems into our core infrastructure. You will work at the intersection of research and production, ensuring our solutions are scalable, secure, and future-proof.

As a leader in the tech industry, Nexus Horizon Systems is committed to pushing the boundaries of what is possible. We are seeking a candidate who not only has deep technical expertise but also the strategic foresight to navigate the evolving landscape of AI in the coming years.

Responsibilities

  • Define the technical roadmap and architectural strategy for AI initiatives targeting the 2026 release cycle.
  • Design and implement scalable machine learning pipelines and distributed computing systems.
  • Lead a high-performance team of data scientists and software engineers to drive innovation.
  • Collaborate with cross-functional stakeholders to translate business goals into technical solutions.
  • Ensure system scalability, security, and compliance with industry standards.
  • Mentor junior staff and conduct code reviews to maintain high engineering standards.

Qualifications

  • 10+ years of experience in software engineering, with at least 5 years in AI/ML architecture.
  • Master’s or PhD in Computer Science, Machine Learning, or a related technical field.
  • Expert proficiency in Python, PyTorch, TensorFlow, or similar deep learning frameworks.
  • Strong experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker/Kubernetes).
  • Proven track record of leading large-scale technical projects from conception to deployment.
  • Excellent communication skills with the ability to articulate complex technical concepts to non-technical stakeholders.

Required Skills

Python Machine Learning System Architecture Cloud Computing TensorFlow Kubernetes Leadership Deep Learning Data Engineering AI Strategy

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