Job Description
We are seeking a visionary Senior AI Architect to lead the development of our next-generation infrastructure for the 2026 era. In this pivotal role, you will design scalable machine learning systems that bridge the gap between classical computing and emerging quantum paradigms. You will be instrumental in shaping the technical roadmap that defines the future of our platform.
Our ideal candidate is not just building for today, but architecting for the next decade. You will work with a world-class team of researchers and engineers to implement robust solutions that handle massive data throughput while maintaining edge-of-the-art accuracy.
Responsibilities
- Architectural Leadership: Design and oversee the implementation of distributed ML infrastructure optimized for 2026 hardware standards.
- Quantum Integration: Lead the research and integration of quantum algorithms into classical neural network workflows.
- System Optimization: Improve model latency, accuracy, and efficiency across cloud and edge environments.
- Trend Analysis: Stay ahead of the curve on emerging AI trends, including Neuromorphic computing and AGI readiness.
- Team Mentorship: Mentor junior engineers and conduct code reviews to maintain high technical standards.
Qualifications
- Education: PhD or Master’s degree in Computer Science, Mathematics, or a related technical field.
- Experience: 7+ years of experience in software engineering and machine learning systems architecture.
- Core Skills: Deep proficiency in Python, PyTorch, TensorFlow, and distributed computing frameworks (Kubernetes, Ray).
- Quantum Knowledge: Familiarity with quantum computing libraries (Qiskit, Cirq) is a significant plus.
- Soft Skills: Excellent verbal and written communication skills with a proven track record of mentoring senior engineering talent.