Job Description
We are seeking a visionary 2026 AI Systems Architect to lead the technical roadmap for our next-generation autonomous systems. This role sits at the intersection of theoretical research and scalable engineering, focusing on the technologies that will define the artificial intelligence landscape in 2026 and beyond.
As a key member of our Future Tech division, you will design the neural infrastructure for our autonomous vehicles and smart city projects, ensuring our solutions are secure, ethical, and capable of handling the computational demands of the near future.
Responsibilities
- Architect and implement scalable machine learning pipelines for real-time data processing.
- Lead the R&D strategy for quantum-assisted algorithms to enhance model efficiency.
- Collaborate with product managers to define the technical vision for the 2026 product release cycle.
- Ensure data sovereignty and compliance with emerging global AI regulations.
- Optimize existing systems to reduce latency and improve throughput in high-stakes environments.
Qualifications
- PhD or Master's degree in Computer Science, AI, or a related technical field.
- 10+ years of experience designing large-scale distributed systems and machine learning architectures.
- Deep expertise in Python, C++, and frameworks such as TensorFlow and PyTorch.
- Strong understanding of quantum computing fundamentals and edge computing paradigms.
- Proven track record of leading cross-functional teams in high-pressure environments.