Job Description
Defining the Future of Technology
At Zai Corp, we are not just building for today; we are architecting the infrastructure for 2026 and beyond. We are seeking a visionary Future Systems Architect to lead our cutting-edge research division. You will be at the forefront of integrating Quantum Computing, Artificial Intelligence, and Decentralized Networks into scalable, robust systems.
If you have a passion for pushing the boundaries of what is possible and thrive in ambiguous, high-stakes environments, we want to meet you.
Why Join Us?
- Impactful Work: Build the core technology that will define the next decade of the tech industry.
- Innovation First: Access to the latest quantum hardware and AI models.
- Global Scale: Work with a distributed team of top-tier engineers and researchers.
Responsibilities
- Design and implement the architectural blueprint for Zai Corp's 2026 infrastructure roadmap, focusing on hybrid Quantum-Classical systems.
- Lead the integration of Generative AI models into core enterprise applications to enhance scalability and efficiency.
- Collaborate with cross-functional teams (Data Science, Security, Product) to define technical standards and best practices.
- Ensure system resilience, fault tolerance, and high availability in distributed cloud environments.
- Conduct research and proof-of-concepts for emerging technologies including Edge Computing and Neural Interfaces.
- Mentor senior engineers and guide technical strategy for the engineering department.
- Drive security-first methodologies to protect sensitive data streams in future-proof architectures.
Qualifications
- Master’s degree or PhD in Computer Science, Physics, Mathematics, or a related field.
- 10+ years of experience in Systems Architecture, with at least 3 years in a leadership or senior technical role.
- Deep expertise in distributed systems, cloud architecture (AWS/Azure/GCP), and containerization technologies (Kubernetes/Docker).
- Experience with Quantum Computing frameworks (e.g., Qiskit, Cirq) and AI/ML libraries (PyTorch, TensorFlow) is highly preferred.
- Strong understanding of cybersecurity principles and zero-trust architectures.
- Excellent verbal and written communication skills, capable of translating complex technical concepts for diverse stakeholders.
- Demonstrated ability to work independently in fast-paced, startup-like environments.