Job Description
Join Nexus Innovations at the forefront of technological evolution as we pioneer systems for 2026. We seek an AI Systems Architect to design next-generation autonomous frameworks that will redefine industries. This role demands visionary thinking and hands-on expertise in bleeding-edge AI infrastructure. You'll collaborate with quantum computing specialists and neuro-symbolic AI researchers to build resilient, ethical systems capable of autonomous decision-making in dynamic environments.
Our San Francisco headquarters offers unparalleled resources and a culture that embraces calculated risk-taking. You'll influence product roadmaps while mentoring junior engineers through our proprietary 'FutureTech' incubator program.
Responsibilities
- Design and implement scalable AI architectures integrating quantum/neural hybrid systems
- Lead cross-functional teams developing autonomous decision frameworks for 2026 use cases
- Establish ethical AI governance protocols aligned with evolving global regulations
- Optimize neural-symbolic computing pipelines for real-time edge deployment
- Drive innovation in explainable AI (XAI) methodologies for high-stakes applications
- Develop predictive models for technology adoption curves and infrastructure scaling
Qualifications
- PhD in Computer Science, AI, or related field with 5+ years industry experience
- Expertise in transformer architectures, federated learning, and neuromorphic computing
- Proven track record deploying production-level AI systems at scale (10M+ users)
- Deep understanding of quantum computing principles and quantum machine learning
- Published research in top-tier AI/ML conferences (NeurIPS, ICML, etc.)
- Experience with MLOps frameworks (Kubeflow, MLflow) and cloud-native architectures
- Strong background in AI ethics frameworks and responsible AI development