CTIO-AI Engineer-Sr Associate

About the role

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
• What You Must Have
• 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
• What Sets You Apart
• Master's Degree preferred
• Possessing advanced proficiency in prompt engineering
• Demonstrating 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
• PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.
• Learn more about how we work: https://pwc.to/how-we-work
• For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and

Additional Information

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. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Respond effectively to the diverse perspectives, needs, and feelings of others. Use a broad range of tools, methodologies and techniques to generate new ideas and solve problems. Use critical thinking to break down complex concepts. Understand the broader objectives of your project or role and how your work fits into the overall strategy. Develop a deeper understanding of the business context and how it is changing. Use reflection to develop self awareness, enhance strengths and address development areas. Interpret data to inform insights and recommendations. Uphold 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.

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