Job Description
We are seeking a visionary Lead AI Architect to define the technological landscape for 2026 and beyond. At Nexus Future Systems, we aren't just predicting the future; we are engineering it. You will lead a team of elite engineers in building the next generation of Artificial General Intelligence (AGI) systems that will power the autonomous economy.
In this role, you will bridge the gap between theoretical machine learning breakthroughs and scalable, energy-efficient quantum neural network architectures. If you are obsessed with pushing the boundaries of what AI can achieve in the coming years, we want to hear from you.
Responsibilities
- Architect and deploy scalable AGI frameworks designed specifically for the 2026 tech stack.
- Optimize deep learning models to run efficiently on hybrid quantum-classical hardware.
- Lead high-performance computing (HPC) initiatives to reduce inference latency by 40%.
- Collaborate with cross-functional teams to integrate AI into our core consumer products.
- Research and implement novel algorithms for predictive analytics and autonomous decision-making.
- Mentor junior engineers and establish best practices for AI safety and ethical bias mitigation.
Qualifications
- PhD or Master’s degree in Computer Science, Mathematics, or a related field.
- Proven experience (5+ years) in deep learning, machine learning engineering, and AI research.
- Expert proficiency in Python, PyTorch, TensorFlow, and CUDA programming.
- Strong understanding of distributed systems, microservices, and cloud architecture (AWS/GCP/Azure).
- Experience with quantum algorithms, neuromorphic computing, or edge AI deployment is a significant plus.