Responsibilities:

• Lead and manage a team of software engineers in developing, implementing, and maintaining advanced software solutions for GenAI projects.

• Engage with senior leadership and cross-functional teams to gather business requirements, identify opportunities for technological enhancements, and ensure alignment with organizational goals.

• Design and implement sophisticated event-driven architectures to support real-time data processing and analysis.

• Oversee the use of containerization technologies such as Kubernetes to promote efficient deployment and scalability of software applications.

• Supervise the development and management of extensive data lakes, ensuring effective storage and handling of large volumes of structured and unstructured data.

• Champion the use of Python as the primary programming language, setting high standards for software development within the team.

• Facilitate close collaboration between software engineers, data scientists, data engineers, and DevOps teams to ensure seamless integration and deployment of GenAI models.

• Maintain a cutting-edge knowledge base in GenAI technologies to drive innovation and enhance software engineering processes continually.

• Translate complex business needs into robust technical solutions, contributing to strategic decision-making processes.

• Establish and document software engineering processes, methodologies, and best practices, promoting a culture of excellence.

• Ensure continuous professional development of the team by maintaining and acquiring new solution architecture certificates and adhering to industry best practices.