Generative AI-Software Engineer- Manager

At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems.

Years of Experience: Candidates with 8+ years of hands on experience

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.
  
  

• BE / B.Tech / MCA / M.Sc / M.E / M.Tech / MBA