The role involves leading the definition and design of advanced artificial intelligence solutions within a collaborative innovation environment. The professional will focus on developing systems including Agentic AI to address complex technological challenges. Responsibilities include translating business requirements into scalable and robust technical architectures. The position requires providing technical leadership and mentorship while establishing best practices for the team. Additionally, the role involves driving the adoption of emerging trends in the field of artificial intelligence.

The role requires a degree in Computer Engineering, Artificial Intelligence, Mathematics, or a similar field. Candidates must possess proven experience in designing and implementing AI and machine learning solutions within an enterprise context. Expertise in defining architectures for LLMs and Agentic AI systems is necessary, alongside knowledge of microservices, APIs, and event-driven patterns. Proficiency in Python, cloud platforms, and data engineering is required, as is experience in technical leadership and mentorship.