Job Description
Join QuantumLeap Dynamics at the forefront of technological evolution. As we prepare for the AI-driven landscape of 2026, we seek a visionary Senior AI Systems Architect to design the next generation of intelligent infrastructure. You'll lead cross-functional teams in developing quantum-resistant AI frameworks, implement autonomous decisioning systems, and pioneer ethical AI governance protocols that will shape tomorrow's digital ecosystem.
This role demands strategic thinking and hands-on expertise in bleeding-edge AI/ML technologies. You'll architect solutions that balance innovation with security, ensuring our systems remain resilient against emerging threats while maximizing operational efficiency. If you thrive at the intersection of theoretical breakthroughs and practical implementation, this is your opportunity to define the future of intelligent systems.
Responsibilities
- Design and implement scalable AI architectures using federated learning and edge computing paradigms
- Lead development of quantum-resistant machine learning models for critical infrastructure
- Establish ethical AI governance frameworks and bias mitigation protocols
- Collaborate with quantum computing teams to optimize hybrid classical-quantum algorithms
- Architect autonomous decisioning systems with real-time adaptive capabilities
- Develop zero-trust AI security frameworks for distributed computing environments
- Mentor junior engineers on emerging AI standards and implementation best practices
Qualifications
- 10+ years in AI/ML architecture with 5+ years in enterprise-scale deployment
- Expertise in TensorFlow/PyTorch, Kubernetes, and cloud-native AI infrastructure
- Published research in quantum machine learning or federated systems
- Certification in AI governance frameworks (e.g., NIST AI RMF, IEEE 7000)
- Experience with autonomous systems and real-time adaptive algorithms
- Proficiency in Python, Rust, and low-level optimization for edge devices
- Demonstrated leadership in cross-functional AI security initiatives