Job Description
Join Nexus Innovations at the forefront of technological evolution as we pioneer 2026's most transformative AI solutions. We're seeking a visionary AI Solutions Architect to design and implement next-generation machine learning frameworks that will redefine industry standards. This role offers unparalleled opportunities to shape the future of artificial intelligence while working with a team of world-class researchers and engineers in our state-of-the-art San Francisco innovation hub.
As an integral part of our Quantum AI division, you'll lead the development of hybrid neural networks that integrate quantum computing principles with traditional machine learning. We offer competitive equity packages, flexible work arrangements, and comprehensive benefits including wellness stipends and professional development funds.
Responsibilities
- Architect scalable AI/ML solutions leveraging quantum computing principles
- Lead cross-functional teams in deploying 2026-era neural network frameworks
- Design ethical AI governance protocols for autonomous systems
- Develop real-time anomaly detection systems for critical infrastructure
- Optimize federated learning models for distributed edge computing
- Create digital twin simulations for predictive maintenance in smart cities
- Research and integrate emerging technologies like neuromorphic computing
Qualifications
- PhD in Computer Science, AI, or Quantum Computing (or equivalent experience)
- 8+ years in AI architecture with proven large-scale deployment success
- Expertise in quantum machine learning frameworks (Qiskit, Cirq, etc.)
- Proficiency in Python, TensorFlow, PyTorch, and distributed computing
- Strong background in ethical AI development and bias mitigation
- Published research in top-tier AI/ML conferences (NeurIPS, ICML, etc.)
- Experience with MLOps tools (Kubeflow, MLflow) and cloud platforms