Job Description
About Apex Neural Systems:
We are at the forefront of defining the technological landscape for the year 2026 and beyond. As a leader in next-generation cognitive computing, we are seeking a visionary Lead AI Architect to design the foundational neural architectures that will power the next decade of human-machine interaction. You won't just be building models; you will be engineering the future.
The Role:
In this pivotal position, you will bridge the gap between theoretical AI research and scalable production infrastructure. You will be responsible for the end-to-end lifecycle of our core AI systems, ensuring they are robust, ethical, and prepared for the quantum-ready era.
Responsibilities
- Architect and deploy cutting-edge generative models tailored for 2026 standards.
- Lead a cross-functional team of data scientists and engineers in building scalable AI infrastructure.
- Optimize neural network performance for low-latency, high-throughput environments.
- Establish best practices for AI ethics, transparency, and bias mitigation.
- Collaborate with quantum computing researchers to integrate hybrid classical-quantum algorithms.
- Define the technical roadmap for the company's AI evolution over the next 5 years.
Qualifications
- Master’s or PhD in Computer Science, Physics, or a related field.
- 10+ years of experience in machine learning, deep learning, or AI engineering.
- Deep expertise in Python, PyTorch, TensorFlow, and distributed systems.
- Experience with quantum computing frameworks or familiarity with post-silicon computing paradigms.
- Strong leadership skills with a track record of mentoring high-performing engineering teams.
- Excellent problem-solving skills with a focus on innovation.