Artificial Intelligence Architect

Your primary responsibilities will include architecting, constructing, and expanding cloud-native platforms and backend systems. You will lead the end-to-end development and deployment of high-performing distributed applications, design secure and scalable APIs and microservices, and collaborate with AI/ML teams to incorporate machine learning models and Generative AI components into production systems. Furthermore, you will drive DevOps best practices, Infrastructure as Code (IAC), and CI/CD processes, while also serving as a technical mentor for engineering teams, advocating for best practices in design, code quality, and architecture. Your role will also involve resolving complex production issues, including debugging and performance optimization.

The ideal candidate for this role should possess over 10 years of software engineering experience with a solid foundation in cloud platforms, preferably GCP, while AWS/Azure expertise is also acceptable. Proficiency in Python or any modern object-oriented language is required, along with strong skills in designing and developing APIs, microservices, and scalable backend systems. Hands-on experience with Kubernetes, Docker, and Terraform, as well as a sound understanding of SQL/NoSQL databases, are essential. Experience in working with Machine Learning, Generative AI, or Transformer-based models in real-world environments is a must, coupled with excellent problem-solving, system design, and debugging abilities. Effective communication and stakeholder management skills are also crucial for success in this role.

Preferred qualifications include exposure to React, Angular, or other frontend frameworks, contributions to open-source AI or cloud-native projects, and prior experience in a startup or high-growth product company.,