The role involves leading enterprise AgenticAI development and guiding engineering scrum teams to make core technical and architectural decisions. The individual oversees the entire development lifecycle of multiple AI services, transitioning from data science proof-of-concept to production. Responsibilities include defining best practices for AI software quality and researching new technologies to evolve cloud-based services. The position requires collaborating with product owners and stakeholders to translate requirements into scalable technical solutions. Additionally, the role provides technical leadership, mentorship, and motivation to development teams while ensuring adherence to architectural principles.

Candidates must hold a university degree in Computer Science, Engineering, or a related field. The role requires eight years of experience in software development, with at least three years specifically in an architect role. Applicants need extensive experience in cloud-based enterprise software, backend system architecture, and agile methodologies. Proficiency in Python or Java is required, alongside strong knowledge of prompt engineering, agent frameworks, and data structures.