Job Description
Apex Quantum Systems is pioneering the cognitive infrastructure of tomorrow. We are seeking a visionary Lead AI Architect (2026 Vision) to spearhead the development of autonomous, quantum-integrated machine learning models. If you are obsessed with pushing the boundaries of what is possible in artificial general intelligence and want to define the roadmap for 2026 and beyond, we want to meet you.
Join a team of elite engineers and researchers dedicated to solving the world's most complex problems using next-generation algorithms.
Responsibilities
- Architect and deploy scalable, high-performance AI models for real-time decisioning systems.
- Lead research initiatives in Neuromorphic Computing and Reinforcement Learning to enhance autonomous agent capabilities.
- Mentor a team of senior data scientists and ML engineers, fostering a culture of innovation and technical excellence.
- Collaborate with cross-functional product teams to translate theoretical research into production-ready software.
- Establish best practices for model interpretability, ethical AI, and data governance.
- Stay ahead of industry trends to identify emerging technologies that can be integrated into our core stack.
Qualifications
- Master’s or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
- 10+ years of experience in software engineering and machine learning, with at least 5 years in a lead architectural role.
- Deep expertise in Python, PyTorch, TensorFlow, and distributed computing frameworks (e.g., Kubernetes, Ray).
- Proven track record of publishing in top-tier AI conferences (NeurIPS, ICML, ICLR).
- Experience with Large Language Models (LLMs) and generative AI architectures.
- Strong problem-solving skills and the ability to thrive in a fast-paced, high-stakes environment.