Job Description
We are seeking a visionary Lead AI Architect to pioneer the next generation of artificial intelligence systems. As we prepare for the technological landscape of 2026, we need a leader who can bridge the gap between theoretical neural networks and practical, scalable quantum-ready software.
In this role, you will be the technical architect behind our core autonomous agents, responsible for defining the infrastructure that powers the future of human-computer interaction. You will work at the intersection of deep learning, high-performance computing, and ethical AI governance.
Responsibilities
- Design and deploy scalable, low-latency neural networks for autonomous agents and smart systems.
- Architect infrastructure capable of interfacing with next-generation quantum computing hardware.
- Lead the technical strategy for integrating Generative AI models into production workflows.
- Ensure all AI systems adhere to strict ethical standards, bias mitigation protocols, and data privacy regulations.
- Collaborate with cross-functional teams to define the product roadmap and technical milestones for 2026.
- Mentor senior engineers and foster a culture of innovation and continuous learning.
Qualifications
- Master’s or PhD degree in Computer Science, Mathematics, or a related field with a focus on AI/ML.
- 5+ years of professional experience with Deep Learning frameworks (PyTorch, TensorFlow, JAX).
- Expert proficiency in high-performance programming languages such as Rust, C++, or Go.
- Proven track record of deploying Large Language Models (LLMs) in enterprise environments.
- Strong understanding of distributed systems, cloud architecture (AWS/GCP), and edge computing.
- Experience with ethical AI frameworks and fairness auditing in algorithmic design.