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AI Systems Architect (2026 Vision)

Nexus Horizon Labs
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
New
Live Update
24 Mei 2026
Deadline
24 Mei 2027

Job Description

Are you ready to build the infrastructure of tomorrow?

We are seeking a visionary AI Systems Architect to join Nexus Horizon Labs. As we pioneer the technological landscape for the year 2026, we are looking for individuals who can bridge the gap between theoretical AI and scalable, real-world applications. This is not just a job; it is an opportunity to define the future of human-machine interaction.

In this role, you will be responsible for designing the next generation of neural architectures, integrating quantum computing paradigms into mainstream cloud infrastructure, and ensuring our systems are robust, ethical, and infinitely scalable.

Responsibilities

  • Architect Next-Gen Neural Networks: Design and deploy scalable deep learning models capable of processing exabytes of data in real-time for 2026 standards.
  • Quantum Integration: Collaborate with quantum physicists to integrate quantum processing units (QPUs) into hybrid classical-quantum workflows.
  • System Optimization: Oversee the full lifecycle of AI infrastructure, from data ingestion and model training to deployment and monitoring in production environments.
  • Leadership & Mentorship: Lead a diverse team of machine learning engineers and data scientists, fostering a culture of innovation and technical excellence.
  • Policy & Ethics: Define and implement ethical AI guidelines to ensure responsible deployment of autonomous systems.

Qualifications

  • Advanced Degree: Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related field with a focus on theoretical physics or mathematics.
  • Experience: Minimum of 8 years of professional experience in software architecture, with at least 5 years specifically in AI/ML systems design.
  • Technical Proficiency: Deep expertise in Python, TensorFlow, PyTorch, and distributed computing systems (Kubernetes, Docker).
  • Quantum Awareness: Demonstrated understanding or experience with quantum algorithms and cloud quantum computing platforms (e.g., IBM Quantum, AWS Braket).
  • Problem Solving: Exceptional ability to solve complex, unstructured problems and optimize system performance under extreme constraints.

Required Skills

Python TensorFlow PyTorch Kubernetes Docker Quantum Computing Machine Learning Distributed Systems Neural Architecture Cloud Architecture NLP Computer Vision

Ready to Take This Challenge?

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