Generative AI-Software Engineer- Manager Full-time

Line of Service
Advisory

Industry/Sector
Not Applicable

Specialism
Data, Analytics & AI

Management Level
Manager

Job Description & Summary
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

Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required:

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Optional Skills
Accepting Feedback, Accepting Feedback, Active Listening, Agile Methodology, Analytical Thinking, Automation Algorithms, Automation Engineering, Automation Framework Design and Development, Automation Programming, Automation Solutions, Automation Studio, Automation System Efficiency, Blue Prism, Business Analysis, Business Performance Management, Business Process Analysis, Business Process Automation (BPA), Business Transformation, Business Value Optimization, C++ Programming Language, Cognitive Automation, Communication, Conducting Discovery, Configuration Management (CM), Continuous Process Improvement {+ 36 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements
0%

Available for Work Visa Sponsorship?
No

Government Clearance Required?
No

Job Posting End Date