Generative AI-Software Engineer- Manager

At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in intelligent automation at PwC will focus on conducting process mining, designing next generation small- and large-scale automation solutions, and implementing intelligent process automation, robotic process automation and digital workflow solutions to help clients achieve operational efficiencies and reduce costs.

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.
  
  

Professional And Educational Background

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