Job Description
We are embarking on Project 2026, a revolutionary initiative to redefine the boundaries of artificial intelligence and sustainable computing. We are looking for a visionary Senior AI Architect to lead the technical design and infrastructure strategy for our next-generation neural networks.
In this role, you will bridge the gap between theoretical AI research and production-grade engineering. You will design the core systems that power our autonomous agents and predictive analytics platforms, ensuring they are scalable, secure, and future-proof.
If you are passionate about solving complex problems and want to shape the technological landscape of 2026, we want to hear from you.
Responsibilities
- Lead the architectural design for Project 2026, focusing on high-scale distributed systems and AI model deployment pipelines.
- Define technical standards, coding guidelines, and best practices for the engineering team to ensure maintainability and scalability.
- Collaborate with data scientists and researchers to translate complex algorithms into efficient, production-ready code.
- Oversee infrastructure reliability, monitoring, and disaster recovery strategies to minimize downtime.
- Mentor senior engineers and contribute to the professional growth of the technical team.
- Evaluate emerging technologies (e.g., quantum computing interfaces, edge AI) to integrate them into our core stack.
Qualifications
- 10+ years of experience in software architecture, with at least 5 years specifically in AI/ML infrastructure.
- Deep expertise in cloud platforms (AWS, GCP, or Azure) and containerization technologies (Kubernetes, Docker).
- Strong proficiency in programming languages such as Python, Java, or Go.
- Experience with MLOps tools, model versioning (MLflow), and data pipelines (Apache Kafka, Spark).
- Master’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
- Proven track record of leading large-scale technical projects from conception to deployment.