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Senior AI Architect (Project 2026)

Quantum Horizon
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
New
Live Update
4 Juni 2026
Deadline
4 Jun 2027

Job Description

We are on the precipice of a technological singularity. Quantum Horizon is seeking a visionary Senior AI Architect (Project 2026) to spearhead our next-generation infrastructure initiative. If you are passionate about defining the future of artificial intelligence and are ready to build systems that will define the era of 2026, this is your opportunity.

In this role, you will not just adapt to future trends; you will define them. You will lead the architectural vision for scalable, ethical, and high-performance AI systems designed to operate seamlessly in a post-scarcity digital economy. Join a team of elite engineers and strategists dedicated to pushing the boundaries of what is possible.

Responsibilities

  • Define the long-term architectural roadmap for Quantum Horizon's AI infrastructure leading up to the 2026 rollout.
  • Lead a cross-functional team of data scientists and engineers to design robust, scalable machine learning models.
  • Ensure the ethical deployment of AI technologies, implementing rigorous safety and fairness protocols.
  • Collaborate with product leadership to translate futuristic concepts into actionable technical specifications.
  • Oversee the integration of quantum computing paradigms with classical neural networks.
  • Conduct high-level technical reviews and mentor junior architects to foster a culture of innovation.

Qualifications

  • PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.
  • 10+ years of experience in software architecture, with at least 5 years specifically in AI and Machine Learning.
  • Deep expertise in Python, TensorFlow, PyTorch, and modern deep learning frameworks.
  • Proven track record of leading large-scale technical projects and teams.
  • Strong understanding of distributed systems, cloud architecture (AWS/GCP), and edge computing.
  • Exceptional problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Artificial Intelligence Machine Learning Python TensorFlow System Architecture Leadership Cloud Computing Data Science Deep Learning Ethics in AI

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