CTIO-AI Engineer-Sr Associate
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 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. Focused on relationships, you are building meaningful client connections, and learning how to manage and inspire others. Navigating increasingly complex situations, you are growing your personal brand, deepening technical expertise and awareness of your strengths. You are expected to anticipate the needs of your teams and clients, and to deliver quality. Embracing increased ambiguity, you are comfortable when the path forward isn’t clear, you ask questions, and you use these moments as opportunities to grow. As part of the Data and Analytics Engineering team you will develop and implement AI solutions that enhance product offerings. As a Senior Associate, you will analyze complex problems, mentor junior team members, and maintain elevated professional standards while building meaningful client relationships.
Responsibilities
- Build and nurture meaningful relationships with clients
- Utilize advanced analytical techniques to drive innovation
- Work with cross-functional teams to achieve project goals
- Uphold the firm's ethical standards and recommended practices
Qualifications
- Bachelor's Degree in Computer Science, Data Processing/Analytics/Science, Artificial Intelligence and Robotics
- 3 years of professional experience developing AI/ML systems or integrating AI into products
- Master's Degree preferred
- Advanced proficiency in prompt engineering
- Experience deploying LLMs into production
- Designing and optimizing RAG pipelines
- Leading technical discovery in fast-paced environments
- Collaborating effectively with cross-functional leaders
- Advocating for responsible AI principles
- Contributing to AI research or open-source communities
- Demonstrating knowledge of orchestration tools such as LangChain, LlamaIndex, and experience with agent-based systems
Skills
- Respond effectively to the diverse perspectives, needs, and feelings of others.
- Use a broad range of tools, methodologies and techniques to generate new