Job Description
We are seeking a visionary Senior AI Architect to lead the technological roadmap for 2026 and beyond. At Horizon Systems, we are not just building software; we are architecting the future of human-machine interaction. In this pivotal role, you will define the infrastructure required to support next-generation Artificial General Intelligence (AGI) and hybrid quantum computing solutions.
You will work at the intersection of deep learning, distributed systems, and ethical AI frameworks. You will be responsible for designing scalable neural architectures that can handle petabyte-scale data streams and ensure our AI models remain compliant with evolving global regulations. If you are passionate about the trajectory of technology and want to define the standards for 2026, we want to hear from you.
Why Join Us?
- Work with a world-class team of researchers and engineers.
- Shape the architecture of the next generation of AI systems.
- Competitive compensation package with equity options.
Responsibilities
- Define and execute the technical roadmap for AI infrastructure leading up to 2026, focusing on scalability and efficiency.
- Design and deploy complex neural network architectures, including transformer models and reinforcement learning systems.
- Integrate emerging technologies such as quantum computing interfaces into existing AI workflows.
- Lead the architectural review process for high-stakes AI projects, ensuring robustness and security.
- Establish best practices for data governance, model transparency, and ethical AI usage.
- Mentor junior engineers and data scientists, fostering a culture of innovation and technical excellence.
Qualifications
- Master’s degree or PhD in Computer Science, Machine Learning, or a related technical field.
- 10+ years of experience in software engineering, with at least 5 years specifically in AI/ML architecture.
- Deep expertise in Python, PyTorch, TensorFlow, and distributed computing frameworks (Kubernetes, Apache Spark).
- Proven experience designing and deploying production-grade Large Language Models (LLMs).
- Strong understanding of quantum computing fundamentals and their potential application in AI optimization.
- Excellent communication skills, with the ability to translate complex technical concepts to diverse stakeholders.