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Senior AI Architect: 2026 Protocol

Nexus Future Labs
San Francisco
Estimated Salary
USD 180.000 – USD 260.000
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

Shape the Future of Intelligence with the 2026 Protocol.

Nexus Future Labs is at the forefront of the next technological revolution. We are seeking a visionary Senior AI Architect to lead the development of our proprietary 2026 Protocolβ€”a next-generation, quantum-integrated neural network framework designed to accelerate Artificial General Intelligence (AGI).

In this role, you will define the architectural standards for our core systems, bridging the gap between theoretical machine learning research and high-performance production deployment. If you are passionate about building the infrastructure of tomorrow, this is your opportunity to make an indelible mark on the industry.

Responsibilities

  • Architect and deploy scalable deep learning models utilizing the proprietary 2026 Protocol stack.
  • Optimize neural architectures for hybrid quantum-classical computing environments and high-performance GPU clusters.
  • Lead the research and implementation of novel algorithms, including advanced Transformer variants and Graph Neural Networks (GNNs).
  • Mentor a team of elite AI engineers, conducting code reviews and establishing technical best practices.
  • Collaborate with cross-functional teams to integrate AI models into autonomous systems and real-time data pipelines.
  • Drive the technical roadmap, ensuring the 2026 architecture remains future-proof and scalable.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Mathematics, or a related field with a specialization in AI/ML.
  • 5+ years of professional experience in AI/ML engineering, with a strong portfolio of published papers or deployed commercial products.
  • Expert proficiency in Python, C++, and Rust; experience with CUDA is highly desirable.
  • Deep understanding of distributed systems, cloud infrastructure (AWS, GCP), and containerization (Docker, Kubernetes).
  • Experience with Quantum Computing libraries (Qiskit, Cirq) or simulation tools is a major plus.
  • Exceptional problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.

Required Skills

Python Machine Learning Deep Learning Quantum Computing AWS C++ Distributed Systems Neural Architecture Search CUDA Natural Language Processing AGI TensorFlow PyTorch

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