Job Description
Welcome to the future of technology. Nexus Horizon is seeking a visionary Future-Ready AI Systems Architect 2026 to lead our research and infrastructure division. We are building the cognitive frameworks for the autonomous era, and we need a pioneer who can architect the next generation of neural networks.
In this role, you will not merely maintain systems; you will define the architectural standards for the year 2026 and beyond. You will bridge the gap between theoretical machine learning and scalable production environments, ensuring our solutions are robust, ethical, and ahead of the curve.
Responsibilities
- Design and implement hyper-scalable AI infrastructure optimized for 2026 workloads and edge computing.
- Lead the integration of Neuro-symbolic AI models and Generative Adversarial Networks (GANs) into production pipelines.
- Establish comprehensive governance frameworks for autonomous decision-making systems and ethical AI.
- Collaborate with quantum computing research teams to prepare neural architectures for quantum transitions.
- Optimize model inference latency, energy efficiency, and data throughput for real-time applications.
Qualifications
- Ph.D. or Master’s degree in Computer Science, Artificial Intelligence, or Cognitive Science.
- 10+ years of experience in machine learning engineering and complex system architecture.
- Expert proficiency in Python, C++, and Rust.
- Deep understanding of Transformer architectures, Large Language Models (LLMs), and reinforcement learning.
- Strong background in cloud-native technologies (Kubernetes, AWS/GCP) and GDPR/CCPA compliance.