Job Description
We are looking for a visionary Senior AI Architect to lead the technical direction of Project 2026, our revolutionary initiative aimed at redefining the intersection of generative intelligence and human cognition. If you are passionate about building the future and have a knack for solving complex technical challenges, we want to meet you.
In this role, you will be responsible for architecting scalable, secure, and ethical AI systems that will serve as the backbone of our next-generation platform. You will work alongside world-class researchers and engineers to push the boundaries of what is possible in the field of Artificial Intelligence.
Join us in shaping the technological landscape of the next decade.
Responsibilities
- Design and implement the core architectural framework for Project 2026, focusing on scalability and performance.
- Oversee the deployment of machine learning models into production environments, ensuring high availability and robust error handling.
- Establish best practices for data governance, model interpretability, and ethical AI usage.
- Collaborate with cross-functional teams, including product managers and data scientists, to translate business requirements into technical roadmaps.
- Mentor and guide a team of talented engineers, fostering a culture of continuous learning and innovation.
- Conduct rigorous testing and optimization to enhance model accuracy and reduce computational costs.
- Stay abreast of the latest advancements in AI research and integrate cutting-edge technologies into our stack.
Qualifications
- PhD or Master’s degree in Computer Science, Mathematics, or a related technical field.
- 10+ years of experience in software engineering, with at least 5 years specifically in AI/ML architecture.
- Deep expertise in Python, PyTorch, TensorFlow, or similar deep learning frameworks.
- Proven track record of deploying large-scale ML systems in cloud environments (AWS, GCP, or Azure).
- Strong understanding of MLOps, CI/CD pipelines, and containerization technologies (Docker, Kubernetes).
- Excellent leadership and communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders.
- Familiarity with AI safety, alignment, and fairness principles.