The role involves providing technical leadership in the design, development, and deployment of AI-driven platforms and products. The engineer will lead the architecture of scalable backend systems that integrate machine learning and Generative AI models into production environments. Responsibilities include driving the end-to-end delivery of solutions such as LLM-based systems, RAG architectures, and agentic workflows. The position requires overseeing data architecture, performance, and security while defining cloud-native deployment strategies. Additionally, the role involves mentoring team members, managing architectural initiatives, and representing the group to leadership.

Candidates must possess a bachelor's or master's degree in computer science, software engineering, or a related field. A minimum of eight years of experience in software engineering with strong backend expertise is required. Applicants must demonstrate proven experience delivering AI, machine learning, or Generative AI systems in production environments. Proficiency in cloud-native architectures, containerization, and database management is necessary. Additionally, the ability to communicate complex technical concepts in client-facing environments is required.