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Senior AI Architect (2026 Vision)

Nexus Horizon Technologies
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Join Nexus Horizon Technologies as we architect the infrastructure for the year 2026. We are looking for a visionary Senior AI Architect to lead the development of next-generation neural networks and autonomous systems. In this role, you will bridge the gap between theoretical machine learning and quantum-ready software architectures.

You will define the roadmap for our flagship AI products, ensuring they are scalable, secure, and future-proof. If you are passionate about the singularity, AGI safety, and building systems that will define the future of human-computer interaction, we want to hear from you.

Why Join Us?

  • Work with state-of-the-art quantum computing hardware.
  • Competitive equity package and performance bonuses.
  • Flexible remote-first culture with a San Francisco HQ.
  • Access to the latest research in Generative AI and Neural Interfaces.

Responsibilities

  • Design and implement scalable machine learning pipelines capable of handling petabyte-scale data streams.
  • Lead the architectural design of Neural Interface (Neuralink-style) integration systems.
  • Collaborate with quantum computing specialists to optimize algorithms for hybrid classical-quantum environments.
  • Oversee the deployment of autonomous agents in high-stakes environments (e.g., logistics, healthcare).
  • Mentor junior engineers and data scientists, fostering a culture of innovation and rapid prototyping.
  • Conduct research into emergent AI behaviors and safety protocols.
  • Drive the migration of legacy systems to next-gen edge computing architectures.

Qualifications

  • Master’s or Ph.D. in Computer Science, Artificial Intelligence, or a related quantitative field.
  • 8+ years of experience in software engineering, with a focus on AI/ML systems architecture.
  • Deep expertise in Python, TensorFlow, PyTorch, and distributed systems.
  • Experience with quantum computing frameworks (e.g., Cirq, Qiskit) or a strong interest in transitioning to this field.
  • Proven track record of leading high-performance teams in agile environments.
  • Strong understanding of data privacy, ethics, and AI governance regulations.
  • Excellent verbal and written communication skills.

Required Skills

Python TensorFlow PyTorch Distributed Systems Quantum Computing Cloud Architecture (AWS/Azure/GCP) Machine Learning Engineering Leadership

Ready to Take This Challenge?

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