Job Description
We are looking for a visionary Senior Artificial Intelligence Architect to define the roadmap for our next-generation generative AI suite. As we look toward 2026, we need a leader who can bridge the gap between theoretical AI research and scalable production systems.
In this role, you will be responsible for architecting the core neural networks that will power our autonomous decision-making engines. You will work in a high-performance environment where innovation is not just encouraged—it is the metric of success.
Responsibilities
- Design and implement scalable deep learning architectures for autonomous systems.
- Lead the migration of legacy models to modern transformer-based frameworks.
- Collaborate with cross-functional teams to define AI product requirements for the 2026 release cycle.
- Mentor junior engineers and data scientists on best practices in MLOps and model deployment.
- Optimize inference latency and reduce computational costs in production environments.
- Stay ahead of emerging trends in AGI and multimodal learning.
Qualifications
- Master’s degree or PhD in Computer Science, Mathematics, or a related field.
- 10+ years of experience in software engineering and machine learning.
- Expert proficiency in Python, PyTorch, and TensorFlow.
- Proven experience architecting large-scale distributed systems.
- Strong background in Natural Language Processing (NLP) and Computer Vision.
- Experience with cloud platforms (AWS/GCP/Azure) and containerization (Docker/K8s).