Job Description
We are seeking a visionary Senior AI Architect to lead our R&D initiatives into the 2026 Future Tech landscape. As the industry shifts towards quantum-enhanced AI and next-generation neural networks, we need a technical leader who can bridge the gap between theoretical innovation and scalable enterprise implementation.
Why This Role? You will be the architect of the future, defining how artificial intelligence integrates with quantum computing and edge devices. This is a high-impact opportunity to work on cutting-edge technology that will define the next decade.
Responsibilities
- Design and implement scalable AI architectures that leverage Quantum Machine Learning (QML) principles for 2026 and beyond.
- Lead the research and development of proprietary Large Language Models (LLMs) and generative AI frameworks.
- Collaborate with cross-functional engineering teams to optimize neural network performance on edge devices and cloud infrastructure.
- Define technical roadmaps and best practices for AI model deployment, monitoring, and security.
- Mentor senior engineers and data scientists, fostering a culture of technical excellence and innovation.
- Conduct rigorous code reviews and architectural assessments to ensure system integrity.
Qualifications
- Master’s or PhD degree in Computer Science, Mathematics, Physics, or a related technical field.
- 8+ years of experience in software engineering with a strong focus on AI, Machine Learning, or Deep Learning.
- Expert proficiency in Python, TensorFlow, PyTorch, and CUDA.
- Strong understanding of distributed systems, cloud architecture (AWS/GCP), and containerization (Docker/Kubernetes).
- Familiarity with Quantum Computing concepts (Qiskit, Cirq, or similar frameworks) is a significant plus.
- Proven experience in leading technical teams and managing complex project lifecycles.