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Artificial Intelligence 🏒 Full Time ⭐️ Verified

Senior 2026 AI Architect

Nexus Core Systems
San Francisco
Estimated Salary
USD 180.000 – USD 250.000
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

The Future of Intelligence Starts Here.

We are not just predicting the year 2026; we are engineering it. Nexus Core Systems is at the forefront of the synthetic intelligence revolution, building the foundational architecture that will define the next decade of human-machine interaction. We are seeking a visionary Senior 2026 AI Architect to lead our R&D division in developing autonomous, self-evolving neural networks.

In this role, you will bridge the gap between theoretical quantum computing and practical deep learning models. You will define the standards for the 2026 tech stack, ensuring our systems are scalable, ethical, and exponentially more intelligent than current paradigms.

Why Join Us?
We offer a competitive benefits package, fully remote-first flexibility, and the opportunity to build the technology of tomorrow, today.

Responsibilities

  • Architect Next-Gen Neural Networks: Design and deploy proprietary Large Language Models (LLMs) and reinforcement learning systems optimized for the 2026 compute landscape.
  • Lead Quantum Integration: Oversee the integration of hybrid quantum-classical algorithms to solve complex optimization problems in real-time.
  • Define Ethical Frameworks: Establish and enforce strict AI governance protocols to ensure alignment with human values and safety standards.
  • Prototype Future Interfaces: Spearhead the development of intuitive neural interfaces and haptic feedback systems for human-AI collaboration.
  • Optimize Infrastructure: Architect high-throughput, low-latency cloud infrastructure capable of supporting petabyte-scale data streams.
  • Mentor Future Leaders: Guide a team of top-tier engineers and data scientists in pushing the boundaries of AI capabilities.

Qualifications

  • Education: Master’s or PhD in Computer Science, Physics, or a related field with a focus on Artificial Intelligence.
  • Experience: 5+ years of professional experience in machine learning engineering, specifically with deep learning frameworks (PyTorch, TensorFlow, JAX).
  • Technical Mastery: Proficiency in Python, C++, and Rust; experience with quantum computing libraries (Qiskit, Cirq) is highly preferred.
  • Strategic Vision: Proven track record of leading complex technical projects from conception to deployment.
  • Communication: Exceptional ability to translate complex technical concepts into clear, actionable strategies for stakeholders.
  • Adaptability: Deep passion for emerging technologies and the ability to thrive in a fast-paced, experimental environment.

Required Skills

Python TensorFlow PyTorch Quantum Computing C++ Rust Neural Networks Machine Learning Cloud Architecture Deep Learning

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

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