Job Description
Are you ready to shape the future of technology? Join CyberCore Industries as a Senior Architect for our The 2026 Initiative, a groundbreaking project aimed at redefining the boundaries of Artificial Intelligence and Quantum Computing.
We are seeking a visionary leader to architect scalable, high-performance systems that will set the standard for the next decade. If you thrive in fast-paced environments and want to leave a lasting legacy in the tech world, this is your opportunity.
Why Join Us?
- Work on cutting-edge AI models that will power the next generation of software.
- Competitive compensation package with performance-based bonuses.
- Flexible remote-first policy with access to state-of-the-art San Francisco HQ.
- Continuous learning budget for conferences and certifications.
As a Senior AI Architect, you will be responsible for the end-to-end technical strategy and implementation of our flagship neural network systems.
Responsibilities
- Design and implement scalable AI architectures for the The 2026 Initiative, ensuring high availability and low latency.
- Lead a cross-functional team of data scientists and engineers to drive product innovation.
- Define technical roadmaps and make critical architectural decisions that align with business goals.
- Optimize existing models for performance, cost-efficiency, and real-time inference capabilities.
- Collaborate with stakeholders to translate complex requirements into technical specifications.
- Conduct rigorous code reviews and ensure adherence to security and best practices.
Qualifications
- Master’s or Ph.D. in Computer Science, Mathematics, or a related technical field.
- Minimum of 8 years of experience in AI/ML architecture, software engineering, or a related discipline.
- Deep expertise in Python, TensorFlow, PyTorch, and distributed computing systems.
- Proven track record of leading large-scale machine learning projects from conception to deployment.
- Strong understanding of cloud infrastructure (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes).
- Excellent problem-solving skills and the ability to communicate complex technical concepts to non-technical stakeholders.