Job Description
Join QuantumLeap Dynamics to architect the future of AI-driven systems in 2026. We're pioneering next-generation neural networks and quantum-entangled computing architectures that will redefine technological boundaries. As our AI Systems Architect, you'll lead the design and implementation of scalable, self-optimizing infrastructure that powers our autonomous ecosystems. This is your chance to shape how humanity interacts with intelligent systems in the coming decade.
What you'll achieve:
- Design fault-tolerant AI systems with 99.999% uptime
- Integrate quantum computing interfaces with classical neural networks
- Develop adaptive security protocols for AGI-era threats
- Lead cross-disciplinary teams of robotics, blockchain, and bio-AI specialists
- Architect ethical governance frameworks for autonomous decision-making
Responsibilities
- Architect next-gen AI systems with 10+ million parameter models
- Design hybrid quantum-classical computing infrastructures
- Implement self-healing network topologies for distributed AI agents
- Create ethical compliance frameworks for autonomous systems
- Lead migration from legacy architectures to 2026 standards
- Develop neural-symbolic fusion architectures
- Optimize systems for edge-to-cloud AI orchestration
- Establish protocols for human-AI symbiotic interfaces
Qualifications
- 10+ years in AI/ML systems architecture
- Expertise in quantum computing interfaces (Qiskit, Cirq)
- PhD in Computer Science or equivalent research experience
- Published work on neural-symbolic integration
- Proficiency in distributed systems (Kubernetes, Mesos)
- Deep learning framework mastery (PyTorch, TensorFlow 2.x)
- Experience with federated learning architectures
- Knowledge of AGI safety frameworks (ALFA, MIRI)