Job Description
Are you ready to define the technological horizon of the future?
Zai Future Systems is at the forefront of innovation, and we are seeking a visionary Senior 2026 AI & Quantum Architect to lead our next generation of research and development. In this role, you won't just be building software; you will be architecting the foundational infrastructure for the year 2026 and beyond.
As we bridge the gap between generative AI and quantum computing, we need a leader who can navigate complex systems, optimize for next-level performance, and ensure scalability in an evolving digital landscape.
Why Join Us?
- Be a Pioneer: Work on cutting-edge projects that define the future of technology.
- Impact the World: Your work will directly influence how AI interacts with the physical world.
- Top-Tier Team: Collaborate with world-class engineers and researchers.
- Competitive Package: Comprehensive benefits, equity options, and a culture of continuous learning.
Responsibilities
- Define and execute the architectural roadmap for next-generation AI systems, focusing on 2026-ready scalability and efficiency.
- Design and implement hybrid quantum-classical algorithms to solve complex computational problems.
- Lead the integration of Large Language Models (LLMs) into scalable enterprise infrastructures.
- Conduct rigorous performance testing and optimization for latency and throughput.
- mentor junior architects and engineers, fostering a culture of technical excellence and innovation.
- Collaborate with product managers to translate futuristic visions into concrete technical specifications.
- Ensure security, compliance, and ethical standards in all AI development practices.
Qualifications
- Master’s or PhD in Computer Science, Mathematics, Physics, or a related technical field.
- 10+ years of professional experience in software architecture, with at least 5 years in AI/ML or Quantum Computing.
- Deep expertise in Python, C++, and Rust, with experience in cloud-native architectures (AWS, GCP, or Azure).
- Proven track record of leading cross-functional teams through complex technical deployments.
- Strong understanding of neural networks, deep learning frameworks (TensorFlow, PyTorch), and quantum mechanics principles.
- Exceptional problem-solving skills and the ability to thrive in a fast-paced, high-stakes environment.