GenAI Python Systems Engineer-Director

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. In artificial intelligence and machine learning, you will develop and implement advanced AI and ML solutions to drive innovation and enhance business processes. Your work involves designing and optimizing algorithms, models, and systems to enable intelligent decision-making and automation.

As a leader, you set the tone, inspire others, and drive business growth while shaping client engagements and mentoring future leaders. You uphold PwC’s reputation by prioritizing quality, integrity, inclusion, and a commercial mindset. You foster a healthy working environment, maximize client satisfaction, cultivate potential in others, and collaborate across the PwC Network.

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
• 10 years of experience

Skills

• Leadership in line with PwC’s values and brand
• Development of new ideas, solutions, and structures; driving thought leadership
• Problem-solving by exploring multiple angles and encouraging creativity
• Balancing long-term, short-term, detail-oriented, and big-picture thinking
• Making strategic choices and driving change by addressing system-level enablers
• Promoting technological advances to create an environment where people and technology thrive
• Identifying market gaps and converting opportunities into success for the firm
• Adherence to professional and technical standards, PwC’s code of conduct, and independence requirements
• 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) is a plus
• Proficiency in Python and structured/unstructured data
• Proficiency in SQL and relational databases
• Writing and maintaining FastAPI endpoints for applications
• Understanding of 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

Pay

The salary range for this position is $155,000 - $410,000. Actual compensation within the range will be dependent upon skills, experience, qualifications, location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus.

Benefits

PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view benefits at a glance, visit https://pwc.to/benefits-at-a-glance.