Job Description
Are you ready to define the technological landscape for the year 2026 and beyond? Horizon 2026 Systems is seeking a visionary Quantum AI Architect to lead our next-generation neural infrastructure. In this pivotal role, you will bridge the gap between theoretical quantum mechanics and practical machine learning applications, ensuring our systems remain at the absolute cutting edge of the industry.
As a key contributor to our 2026 roadmap, you will spearhead the deployment of autonomous agents and generative models that redefine human-computer interaction. We are looking for a problem solver who thrives in a high-stakes, innovative environment.
Responsibilities
- Design and architect scalable, high-performance AI infrastructure capable of processing petabytes of real-time data.
- Lead the integration of quantum computing protocols into classical ML pipelines to solve complex optimization problems.
- Oversee the training, fine-tuning, and deployment of large language models (LLMs) for enterprise-grade applications.
- Collaborate with cross-functional engineering teams to implement rigorous ethical AI guidelines and safety protocols.
- Mentor junior developers and data scientists, fostering a culture of innovation, code excellence, and continuous learning.
- Conduct research on emerging AI trends to keep Horizon 2026 Systems ahead of the curve.
Qualifications
- Master’s or PhD in Computer Science, Artificial Intelligence, Quantum Computing, or a related quantitative field.
- 5+ years of professional experience designing large-scale distributed systems and AI models.
- Deep expertise in Python, C++, and modern frameworks such as TensorFlow, PyTorch, or Qiskit.
- Proven track record of deploying AI solutions into production environments with high availability.
- Strong understanding of neural network architectures, deep reinforcement learning, and algorithmic efficiency.