Job Description
We are standing on the edge of a new era of intelligence. As we look toward the horizon of 2026, the integration of Artificial Intelligence into every layer of the digital ecosystem is no longer a possibility—it is an inevitability. Apex Horizon Labs is seeking a visionary Principal AI Architect to lead our research and development division in defining the technological landscape of the future.
In this role, you will not simply maintain current systems; you will architect the neural frameworks and autonomous decision-making engines that will power the next generation of global infrastructure. We are looking for a technical leader who thrives in ambiguity and is obsessed with pushing the boundaries of what is computationally possible.
Join us in building the intelligent backbone of tomorrow, today.
Responsibilities
- Architect and lead the design of scalable, high-performance AI systems for the 2026 strategic roadmap.
- Oversee the research, development, and deployment of next-generation Deep Learning models and neural networks.
- Collaborate with product and engineering teams to integrate cutting-edge AI capabilities into core business solutions.
- Establish architectural standards for data governance, model training, and edge computing deployment.
- Drive innovation in AI hardware acceleration and quantum-ready software interfaces.
- Mentor senior engineering teams and foster a culture of technical excellence and forward-thinking.
Qualifications
- Master’s or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field.
- 10+ years of experience in AI/ML engineering, with at least 5 years in a senior architectural leadership role.
- Deep proficiency in Python, C++, and major ML frameworks (PyTorch, TensorFlow, JAX).
- Proven track record of deploying large-scale machine learning models in high-traffic production environments.
- Strong understanding of distributed systems, cloud infrastructure (AWS, GCP, Azure), and containerization (Docker, Kubernetes).
- Experience with neuro-symbolic AI or quantum computing interfaces is highly desirable.