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Senior AI Architect - 2026 Protocol

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

Job Description

We are at the forefront of the technological singularity, building the 2026 Protocolβ€”a revolutionary autonomous intelligence framework set to redefine the boundaries of human-machine interaction. Nexus Future Systems is seeking a visionary Senior AI Architect to lead the architectural design and implementation of this next-generation ecosystem. You will be responsible for crafting scalable, secure, and ethically aligned neural architectures that power our flagship products. This is a rare opportunity to shape the future of AI in a high-impact, fast-paced environment.

Responsibilities

  • Spearhead the architectural design and development of the core 2026 Protocol neural engine, ensuring high performance and scalability.
  • Collaborate with cross-functional teams of data scientists, engineers, and product managers to integrate AI models into production environments.
  • Oversee the deployment of next-generation infrastructure, including cloud-native solutions and edge computing architectures.
  • Implement rigorous testing and validation protocols to ensure the robustness and reliability of autonomous systems.
  • Mentor junior engineers and architects, fostering a culture of innovation and technical excellence within the 2026 division.
  • Stay ahead of industry trends in AI, ensuring the 2026 Protocol remains competitive and cutting-edge.

Qualifications

  • Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related technical field.
  • 7+ years of experience in AI/ML engineering, with at least 3 years in a senior architectural role.
  • Deep expertise in Python, TensorFlow, PyTorch, and modern deep learning frameworks.
  • Proven track record of designing large-scale distributed systems and managing complex data pipelines.
  • Experience with MLOps, CI/CD, and cloud platforms (AWS, GCP, or Azure).
  • Strong understanding of ethical AI principles and regulatory compliance standards.

Required Skills

Python TensorFlow PyTorch Machine Learning Deep Learning MLOps Cloud Architecture Distributed Systems SQL Kubernetes AWS

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