Job Description
Join Nexus Dynamics at the forefront of AI evolution for 2026. We're seeking a visionary AI Infrastructure Architect to design next-generation neural networks and quantum-optimized systems. This role demands expertise in distributed computing frameworks, ethical AI governance, and scalable architectures capable of processing exabyte-scale datasets. You'll lead initiatives in federated learning, neuromorphic computing, and carbon-efficient AI deployment while mentoring a cross-disciplinary team of researchers and engineers.
Responsibilities
- Design and implement quantum-resistant AI infrastructure supporting 10^8+ concurrent neural operations
- Lead cross-functional teams in developing federated learning frameworks for distributed data ecosystems
- Architect carbon-efficient AI deployment systems reducing computational footprint by 40%+ by 2026
- Establish ethical AI governance frameworks aligned with evolving global regulatory standards
- Develop neuromorphic computing prototypes for real-time edge AI applications
- Optimize AI/ML pipelines for next-generation semiconductor architectures
- Create strategic blueprints for AI infrastructure scaling to exabyte-scale data processing
Qualifications
- PhD in Computer Science/AI or equivalent with 8+ years in large-scale infrastructure architecture
- Expertise in quantum computing frameworks (Qiskit, Cirq) and quantum-resistant algorithms
- Proven experience with federated learning and distributed ML systems (TensorFlow Federated, PySyft)
- Deep knowledge of neuromorphic computing (Intel Loihi, IBM TrueNorth)
- Certification in AI ethics (IEEE Ethically Aligned Design, ACM/IEEE)
- Mastery of carbon-efficient AI optimization techniques (MLPerf Green AI)
- Experience leading infrastructure projects supporting >1M concurrent AI operations