Job Description
Join QuantumLeap Technologies as we pioneer the next frontier of artificial intelligence. We're seeking a visionary 2026 AI Infrastructure Architect to design and implement the foundational systems that will power AI breakthroughs for the next decade. This role is critical to our mission of democratizing quantum computing and creating accessible AI solutions for global enterprises.
You'll lead the development of cutting-edge infrastructure that balances performance, scalability, and security in an era of unprecedented technological advancement. Collaborate with world-class researchers to translate theoretical models into production-ready systems that will define the AI landscape of 2026 and beyond.
Responsibilities
- Design and implement scalable AI infrastructure supporting next-generation quantum computing models
- Lead cross-functional teams in developing secure, high-performance data pipelines for petabyte-scale datasets
- Architect hybrid cloud solutions integrating quantum processors with classical computing resources
- Develop frameworks for real-time AI model deployment and continuous optimization
- Create disaster recovery protocols ensuring 99.999% uptime for critical AI systems
- Research and implement emerging technologies like neuromorphic computing and photonic processors
- Mentor junior engineers in next-gen infrastructure best practices
Qualifications
- 10+ years in distributed systems architecture with 5+ years in AI/ML infrastructure
- Expertise in quantum computing frameworks (Qiskit, Cirq, or PennyLane)
- Proven experience with hybrid cloud environments (AWS/GCP/Azure + on-prem)
- Deep understanding of GPU/TPU optimization and high-performance networking
- Advanced knowledge of container orchestration (Kubernetes, Docker Swarm)
- Strong background in security protocols for sensitive AI workloads
- PhD in Computer Science, Engineering, or related field preferred
- Published research in quantum machine learning or next-gen AI infrastructure