Job Description
Shape the Future of Intelligence
Nexus Horizon AI is seeking a visionary Lead AI Architect to define the technical roadmap for our next-generation generative models. As we look toward the 2026 horizon, we aren't just building software; we are architecting the infrastructure for a sentient digital future.
In this pivotal role, you will bridge the gap between theoretical AI research and scalable production systems. You will lead a world-class team of engineers in deploying Large Language Models (LLMs) that are faster, safer, and more efficient than ever before.
Why Nexus Horizon?
We are backed by top-tier VCs and are currently in stealth mode, preparing to launch the industry's first self-healing AI infrastructure by 2026. This is a rare opportunity to work on foundational technology that will reshape the global economy.
Responsibilities
- Architect Next-Gen Systems: Design and implement distributed machine learning pipelines capable of processing petabytes of data with microsecond latency.
- Lead Research Integration: Translate cutting-edge academic research into production-ready code, specifically focusing on Agentic AI and autonomous decision-making frameworks.
- Optimize Performance: Lead initiatives to reduce model inference costs and improve token generation accuracy using advanced quantization techniques.
- Technical Mentorship: Mentor junior and senior engineers, fostering a culture of innovation and continuous learning within the AI lab.
- Security & Compliance: Ensure all AI systems adhere to rigorous safety protocols and ethical guidelines, building "Red Teaming" into the core architecture.
Qualifications
- Advanced Education: PhD or Master’s degree in Computer Science, Mathematics, or a related field (or equivalent professional experience).
- Deep Learning Expertise: 5+ years of experience building, deploying, and scaling deep learning models (PyTorch, TensorFlow, JAX).
- System Design: Proven track record of designing high-availability, fault-tolerant systems at scale (AWS, GCP, or Azure experience is mandatory).
- Programming Mastery: Expert proficiency in Python and C++ with experience in GPU programming (CUDA).
- Future-Ready Mindset: Demonstrated ability to anticipate industry trends and adapt technical stacks for emerging paradigms like Neuromorphic Computing.