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Information Technology 🏒 Full Time ⭐️ Verified

Advanced AI Systems Architect

Nexus Horizon Technologies
New York
Estimated Salary
USD 180.000 – USD 250.000
Live Update
3 Juli 2026
Deadline
3 Jul 2027

Job Description

We are seeking a visionary Advanced AI Systems Architect to lead the evolution of our intelligence infrastructure. As we approach the year 2026, the integration of human cognition and digital processing is reaching a critical tipping point. At Nexus Horizon Technologies, we are building the bridges to this future.

In this role, you will not just write code; you will architect the cognitive frameworks that will define the next generation of human-machine interaction. You will be at the forefront of merging deep learning with next-gen quantum interfaces, ensuring our systems are scalable, self-evolving, and secure.

If you are a pioneer who thrives on ambiguity and wants to shape the technological landscape of the future, this is your opportunity.

Responsibilities

  • Design and implement scalable, futuristic AI architectures for enterprise-grade cognitive applications.
  • Lead the research and integration of quantum computing protocols into classical machine learning pipelines.
  • Optimize neural network performance for real-time, high-throughput cognitive processing.
  • Define technical roadmaps for AI evolution and mentor a team of elite researchers and engineers.
  • Collaborate with cross-functional teams to translate theoretical AI breakthroughs into practical, deployable solutions.
  • Ensure the security, ethics, and scalability of all AI-driven systems.

Qualifications

  • PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related field with a focus on future computing paradigms.
  • 10+ years of experience in software architecture, with at least 5 years specifically in AI/ML and deep learning.
  • Expert proficiency in Python, TensorFlow, PyTorch, and distributed systems.
  • Experience with quantum computing environments (Qiskit, Cirq) is highly desirable.
  • Strong understanding of cloud infrastructure (AWS, GCP, Azure) and containerization (Kubernetes, Docker).
  • Exceptional leadership skills with a track record of driving innovation in complex technical environments.

Required Skills

Artificial Intelligence Machine Learning Python TensorFlow Quantum Computing Cloud Architecture System Design Neural Networks Leadership Research

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