Job Description
Join Apex Future Systems, the leading pioneer in next-generation artificial intelligence infrastructure. We are not just building software for today; we are architecting the sentient systems of tomorrow.
We are seeking a visionary Next-Gen AI Systems Architect to lead our research division focused on AGI (Artificial General Intelligence) and Neuro-Symbolic computing. If you have a passion for pushing the boundaries of what is possible and want to define the technological landscape of 2026, this is your opportunity to make history.
You will be responsible for designing scalable, fault-tolerant neural architectures and implementing cutting-edge reinforcement learning models. This role requires a unique blend of deep technical expertise and forward-thinking strategy.
Responsibilities
- Design and architect scalable neural network infrastructures capable of handling exascale data processing.
- Lead the research and development of next-generation AI models, focusing on explainability and ethical alignment.
- Collaborate with cross-functional teams to integrate AI solutions into complex enterprise ecosystems.
- Optimize model latency and throughput for real-time inference applications.
- Establish best practices for AI safety, security, and compliance in a rapidly evolving regulatory environment.
Qualifications
- Master’s or Ph.D. in Computer Science, Machine Learning, or a related field.
- Proven experience (7+ years) in designing large-scale distributed systems and deep learning frameworks.
- Expert proficiency in Python, C++, and TensorFlow/PyTorch.
- Strong understanding of quantum computing principles and their application to classical AI problems.
- Demonstrated track record of publishing research in top-tier AI conferences (NeurIPS, ICML, ICLR).