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Artificial Intelligence 🏒 Full Time ⭐️ Verified

Senior AI Architect: Project 2026

Nexus Horizon Systems
San Francisco
Estimated Salary
USD 185.000 – USD 260.000
New
Live Update
30 Juni 2026
Deadline
30 Jun 2027

Job Description

Are you ready to architect the future?

Nexus Horizon Systems is looking for a visionary Senior AI Architect to lead our groundbreaking Project 2026. We are building the foundational infrastructure for the next generation of sentient computing. This is not just a job; it is a mission to redefine human-machine interaction and push the boundaries of artificial general intelligence.

In this role, you will be responsible for designing scalable neural architectures, integrating quantum computing protocols, and ensuring our AI systems are safe, robust, and ethically aligned for the year 2026 and beyond. If you are a technical leader who thrives on solving the impossible, we want to hear from you.

Responsibilities

  • Design and implement next-generation neural network architectures specifically for Project 2026.
  • Lead the integration of quantum computing protocols into classical machine learning pipelines.
  • Oversee the architecture review process for high-dimensional data processing and real-time inference systems.
  • Define and enforce best practices for AI safety, alignment, and bias mitigation in future-proofing models.
  • Collaborate with cross-functional teams of quantum physicists and software engineers to translate complex research into production-grade code.
  • Mentor high-potential engineering talent in advanced algorithmic development and system design.

Qualifications

  • Ph.D. or Master’s degree in Computer Science, Artificial Intelligence, Mathematics, or a related technical field.
  • 7+ years of professional experience in designing, deploying, and maintaining large-scale machine learning systems.
  • Deep expertise in Python, C++, and distributed computing frameworks such as Kubernetes and AWS.
  • Demonstrated experience with Large Language Models (LLMs), Transformers, and Natural Language Processing (NLP).
  • Strong understanding of ethical AI principles, fairness, and transparency in algorithmic decision-making.
  • Proven track record of leading technical teams in fast-paced, innovative environments.

Required Skills

Python PyTorch TensorFlow Quantum Computing Machine Learning Deep Learning Distributed Systems NLP Cloud Architecture Kubernetes AWS

Ready to Take This Challenge?

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