Job Description
We are standing at the threshold of a technological renaissance. As we look toward the digital landscape of 2026, Nexus Future Systems is seeking a visionary Lead AI Systems Architect to define the architecture of tomorrow.
This is not just a job; it is an opportunity to engineer the cognitive layer of the internet. You will be responsible for building the robust, scalable, and ethical frameworks that will power the next generation of intelligent applications.
Why join us?
- Work on cutting-edge projects that redefine human-computer interaction.
- Competitive equity package and salary.
- Flexible remote-first culture with a premium San Francisco office.
- Access to state-of-the-art hardware and quantum computing resources.
Responsibilities
- Architect and deploy scalable, high-performance AI models for global applications.
- Lead the R&D strategy for next-generation neural networks and deep learning algorithms.
- Collaborate with quantum computing researchers to integrate hybrid AI systems.
- Ensure system scalability, security, and data integrity across all platforms.
- Define best practices for AI ethics, bias mitigation, and transparency.
- mentor and guide a team of senior data scientists and software engineers.
- Optimize system latency and throughput to support real-time processing demands.
Qualifications
- PhD or Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.
- 10+ years of experience in Machine Learning, Deep Learning, and Software Engineering.
- Expert proficiency in Python, TensorFlow, PyTorch, and C++.
- Extensive experience with distributed systems, cloud architecture (AWS/GCP), and containerization (Kubernetes/Docker).
- Proven track record of leading high-impact engineering teams.
- Familiarity with quantum computing libraries (e.g., Qiskit, Cirq) is highly preferred.