Advisory National CT&I - AI Engineer - Senior Manager

PricewaterhouseCoopers•Dallas, TX

21h

About The Position

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 data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven decision making. You will work on developing predictive models, conducting statistical analysis, and creating data visualisations to solve complex business problems. Growing as a strategic advisor, you leverage your influence, expertise, and network to deliver quality results. You motivate and coach others, coming together to solve complex problems. As you increase in autonomy, you apply sound judgment, recognising when to take action and when to escalate. You are expected to solve through complexity, ask thoughtful questions, and clearly communicate how things fit together. Your ability to develop and sustain high performing, diverse, and inclusive teams, and your commitment to excellence, contributes to the success of our Firm. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Craft and convey clear, impactful and engaging messages that tell a holistic story. Apply systems thinking to identify underlying problems and/or opportunities. Validate outcomes with clients, share alternative perspectives, and act on client feedback. Direct the team through complexity, demonstrating composure through ambiguous, challenging and uncertain situations. Deepen and evolve your expertise with a focus on staying relevant. Initiate open and honest coaching conversations at all levels. Make difficult decisions and take action to resolve issues hindering team effectiveness. Model and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. The Opportunity As part of the Data and Analytics Engineering team you will lead the design, training, and deployment of innovative ML and LLM models in production environments. As a Senior Manager, you will drive engineering excellence through hands-on knowledge, maintaining the reliability and maintainability of scalable AI solutions while overseeing the development of cloud-native microservices. This role offers a unique chance to shape the future of AI at PwC, leveraging advanced technologies to deliver impactful results.

Requirements

Bachelor's Degree
At least 8 years of experience in AI/ML engineering, software development, or similar technical leadership roles

Nice To Haves

Master's Degree in Computer Science, Artificial Intelligence and Robotics, Software Engineering preferred
Demonstrating in-depth abilities in client needs assessment
Excelling in Python and ML frameworks
Managing cloud platforms like AWS, GCP, Azure
Utilizing analytical techniques including machine learning and optimization
Skilled in vectorization and prompt engineering
Designing AI architectures with enterprise application integrations
Championing governance and Responsible AI practices
Mentoring junior engineers and fostering collaboration