GenAI Python Systems Engineer –Senior Manager

About the role

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 artificial intelligence and machine learning at PwC will focus on developing and implementing advanced AI and ML solutions to drive innovation and enhance business processes. Your work will involve designing and optimising algorithms, models, and systems to enable intelligent decision-making and automation.

Responsibilities

• Lead the creation and execution of data architecture strategies
• Drive innovation and thought leadership in data solutions
• Collaborate with stakeholders to align technical solutions with business needs
• Maintain compliance with data governance and security protocols
• Promote an environment where technology and people excel together
• Translate complex data requirements into actionable technical plans
• Oversee the implementation of advanced data technologies
• Facilitate cross-functional collaboration to enhance data architecture

Requirements

• Bachelor's Degree
• 8 years of experience

What sets you apart

• Certification in Cloud Platforms [e.g., AWS Certified Solutions Architect, AWS Data Engineer, Google Professional Cloud Architect, GCP Data Engineer Microsoft Certified: Azure Solutions Architect Expert, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate]
• Proficient in Python and structured/unstructured data
• Proficient in SQL and relational databases
• Writing and maintaining FastAPI endpoints for applications
• Understanding AI techniques enhancing LLMs
• Experience in prompt engineering for LLM outputs
• Developing scalable data storage solutions using cloud services
• Designing and managing data warehouses and data lakes
• Implementing IAM roles and policies for cloud platforms