Job Description
We are seeking a visionary Senior AI Architect to lead the architectural evolution of our cognitive computing division. As we prepare for the 2026 deployment of our flagship autonomous systems, you will define the infrastructure that powers the next generation of human-AI collaboration.
Our Mission: To engineer the synthetic intelligence layer that connects global enterprises and drives autonomous decision-making.
In this role, you will bridge the gap between theoretical research and production-grade engineering, ensuring our models are scalable, ethical, and revolutionary.
Responsibilities
- Design and implement scalable, fault-tolerant deep learning architectures for large language models and generative AI systems.
- Optimize inference pipelines for real-time decision making in high-throughput, low-latency environments.
- Lead the technical strategy for transitioning legacy systems to edge-computing neural networks.
- Collaborate with cross-functional teams to define product requirements for AI-driven features.
- Establish and enforce best practices for model governance, security, and ethical AI deployment.
Qualifications
- Master’s or PhD in Computer Science, Mathematics, or a related quantitative field.
- Extensive experience with PyTorch, TensorFlow, and modern distributed training frameworks.
- Strong proficiency in Python, C++, and Rust for high-performance computing.
- Demonstrated success in deploying ML models that handle petabytes of data.
- Experience with Kubernetes, AWS SageMaker, or Azure ML platforms.