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Information Technology 🏒 Full Time ⭐️ Verified

Senior AI Architect - 2026 Vision

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

Job Description

We are pioneering the technological frontier for the year 2026. We are seeking a visionary Senior AI Architect to design the neural architectures that will power the next generation of intelligent systems. This is not just a job; it is a mission to redefine the boundaries of human-computer interaction.

In this high-impact role, you will lead the architectural strategy for our upcoming quantum-enhanced AI models. You will work with a world-class team of data scientists, engineers, and futurists to build scalable, ethical, and efficient systems that will stand the test of time. If you are passionate about the future of technology and want to leave a lasting legacy in the industry, we want to hear from you.

Responsibilities

  • Design and deploy scalable AI infrastructure capable of supporting 2026-level computational demands.
  • Lead the architectural strategy for integrating quantum computing concepts into classical machine learning workflows.
  • Mentor and guide a team of junior architects and engineers to foster a culture of innovation.
  • Define technical roadmaps and ensure alignment with long-term business goals.
  • Oversee the implementation of autonomous agents and generative AI models.
  • Conduct rigorous research on emerging AI paradigms and neural network optimizations.
  • Ensure all systems adhere to strict data privacy and ethical AI compliance standards.

Qualifications

  • PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.
  • 10+ years of experience in software engineering, with at least 5 years in AI architecture and leadership.
  • Deep expertise in machine learning frameworks (TensorFlow, PyTorch) and large language models (LLMs).
  • Proven track record of leading cross-functional teams in complex, high-stakes projects.
  • Experience with cloud-native architectures (AWS, Azure, GCP) and containerization (Kubernetes, Docker).
  • Strong understanding of quantum computing principles and their application to software development.

Required Skills

Python TensorFlow PyTorch Kubernetes AWS Quantum Computing Machine Learning System Architecture Leadership Docker

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