Job Description
Join QuantumLeap Solutions at the forefront of technological evolution as we build the intelligent infrastructure for 2026. We seek a visionary AI Systems Architect to design next-generation neural networks that will redefine human-machine interaction. This role sits at the intersection of quantum computing, neuromorphic engineering, and predictive analytics, offering unparalleled opportunities to shape the future of autonomous systems.
Our ideal candidate thrives in ambiguity, pushes the boundaries of possibility, and possesses deep expertise in scalable machine learning frameworks. You'll lead cross-disciplinary teams to architect solutions that anticipate needs before they arise, creating adaptive systems that learn and evolve in real-time.
Responsibilities
- Design quantum-entangled AI architectures with sub-millisecond latency requirements
- Develop predictive models using federated learning across distributed edge networks
- Architect self-healing infrastructure with autonomous resource optimization
- Lead implementation of neuro-symbolic AI frameworks for hybrid reasoning
- Create ethical AI governance frameworks compliant with 2026 regulatory standards
- Develop zero-trust security protocols for AI-human collaborative environments
Qualifications
- PhD in Computer Science/AI or equivalent with 5+ years in neural network architecture
- Expertise in quantum machine learning frameworks (Qiskit, Cirq, PennyLane)
- Proven experience designing systems for real-time adaptive learning
- Deep understanding of neuromorphic hardware (Loihi, TrueNorth, Intel Hala)
- Certification in ethical AI governance (IEEE 7000-2026 standards)
- Published research in top-tier AI/quantum computing journals