Job Description
We are Nexus Core Labs, a forward-thinking research organization at the forefront of the 2026 technological revolution. As we prepare for the next phase of autonomous systems and sentient interface integration, we are seeking a visionary 2026 AI Systems Architect to lead our infrastructure strategy.
In this pivotal role, you will bridge the gap between theoretical AI research and scalable production engineering. You will design the neural backbone of our next-generation applications, ensuring our systems are not only powerful but resilient, secure, and ready for the future.
Why Join Us?
We offer a competitive benefits package, equity opportunities, and the chance to define the technological standards of 2026. If you are a pioneer who thrives in ambiguity and wants to build the future, we want to hear from you.
Responsibilities
- Architect Next-Gen Systems: Design and implement scalable, high-performance AI infrastructure capable of handling billions of data points in real-time.
- R&D Leadership: Spearhead research initiatives focused on edge computing and neural network optimization for the 2026 timeframe.
- Infrastructure Strategy: Collaborate with engineering teams to define technical roadmaps and ensure alignment with long-term product goals.
- Performance Optimization: Continuously monitor, tune, and optimize system architecture to maximize efficiency and minimize latency.
- Cross-Functional Collaboration: Work closely with data scientists, product managers, and security experts to deliver robust, end-to-end solutions.
- Talent Development: Mentor junior architects and engineers, fostering a culture of technical excellence and innovation.
Qualifications
- Education: Master’s degree in Computer Science, Artificial Intelligence, or a related field, or equivalent practical experience.
- Experience: 10+ years of experience in software architecture, with at least 5 years specifically in AI/ML systems design.
- Technical Skills: Proficiency in Python, PyTorch, TensorFlow, and distributed systems (Kubernetes, Docker).
- Strategic Vision: Deep understanding of emerging AI trends, including Large Language Models (LLMs) and generative adversarial networks.
- Problem Solving: Demonstrated ability to solve complex, ambiguous problems with innovative engineering solutions.
- Communication: Excellent verbal and written communication skills, capable of translating complex technical concepts for diverse stakeholders.