Job Description
Join NexusTech Solutions at the forefront of technological evolution as we pioneer the next wave of quantum-AI convergence. We're seeking a visionary Quantum AI Systems Architect to design and deploy cutting-edge systems that will define the digital landscape of 2026 and beyond. This role offers the unique opportunity to shape the future of computational intelligence while working with industry-leading quantum hardware and machine learning frameworks.
Our ideal candidate thrives at the intersection of quantum physics, artificial intelligence, and scalable infrastructure. You'll collaborate with Nobel laureates and Turing Award winners in our state-of-the-art R&D facility, pushing the boundaries of what's possible in computational science. If you're passionate about solving humanity's most complex challenges through quantum-AI synergy, this is your moment to make history.
Responsibilities
- Design and implement hybrid quantum-classical AI architectures for enterprise-scale applications
- Develop proprietary quantum neural networks achieving quantum advantage in real-world scenarios
- Lead cross-functional teams in deploying quantum-optimized machine learning pipelines
- Create quantum-resistant security protocols for next-gen data ecosystems
- Architect fault-tolerant quantum computing interfaces with classical AI frameworks
- Pioneer novel quantum algorithms for unsupervised learning and generative AI
- Translate complex quantum-AI concepts into actionable business solutions
Qualifications
- PhD in Quantum Computing, AI, or Computational Physics with 5+ years industry experience
- Proven expertise in quantum programming (Qiskit, Cirq, Q#) and machine learning frameworks
- Deep understanding of quantum error correction and fault-tolerant systems
- Published research in quantum machine learning or quantum AI applications
- Experience architecting scalable systems handling petabyte-scale datasets
- Proficiency in high-performance computing and distributed quantum networks
- Strong background in theoretical computer science and complexity theory