The role involves designing, developing, and implementing intelligent agents based on generative AI to automate and optimize business processes. The professional will manage the full project lifecycle, from gathering requirements to production and ongoing evolution. Responsibilities include integrating AI agents with enterprise applications across cloud, distributed, and legacy environments. The individual will collaborate with business and technology teams to identify use cases and transform needs into technical solutions. Additionally, the role requires monitoring performance metrics to drive continuous improvement and documenting technical architectures. The professional will also interact directly with clients to propose solutions and ensure the successful adoption of implemented technologies.

Candidates must hold a degree in Systems Engineering or a related field. Required experience includes the design, development, and deployment of artificial intelligence agents and the execution of end-to-end projects. Proficiency in software development languages such as Python, JavaScript, or Java is necessary, along with experience in API integration and version control using Git. Furthermore, the role requires knowledge of generative AI tools, performance analytics, and the ability to work within hybrid environments.