Job Description
At OmniFuture Technologies, we don't just predict the future; we architect it. We are currently assembling the elite team for Project 2026, our most ambitious initiative to integrate Generative AI with next-generation quantum processing. We are seeking a visionary Lead AI Architect to spearhead the infrastructure design that will define the next decade of computing.
In this pivotal role, you will bridge the gap between theoretical AI research and scalable, production-grade engineering. You will be responsible for building the foundational systems that power our global intelligence networks. If you are passionate about pushing the boundaries of what is possible in machine learning and systems architecture, we want to hear from you.
Responsibilities
- Architect and deploy next-generation neural network infrastructures designed for the 2026 roadmap and beyond.
- Lead a cross-functional squad of ML engineers, quantum researchers, and data scientists in an agile environment.
- Oversee the migration to decentralized AI models to ensure maximum scalability and resilience.
- Define technical standards for safety, ethics, and performance in emergent AI systems.
- Collaborate with executive stakeholders to translate strategic '2026' goals into actionable technical roadmaps.
Qualifications
- PhD or Master’s degree in Computer Science, Mathematics, or a related technical field.
- 10+ years of experience in Machine Learning, Deep Learning, and System Architecture.
- Proven track record of leading high-performance engineering teams in a fast-paced, startup environment.
- Expert knowledge in Python, PyTorch, TensorFlow, and distributed computing systems.
- Experience with Large Language Models (LLMs) and transformer architectures is highly preferred.