Digital Assurance & Transparency (DAT) - Artificial Intelligence - Associate - Summer/Fall 2027

PricewaterhouseCoopers•Rosemont, IL

10d

About The Position

As a Digital Assurance and Transparency Artificial Intelligence Associate, you will work in Generative AI within PwC’s Assurance practice, using AI technologies to enhance data and analytics engineering and help develop solutions for clients. You will contribute to client engagements, build your skills and technical knowledge, and provide support and insights as clients navigate complex challenges. Working alongside experienced professionals, you will develop expertise in AI and data analytics and contribute to solutions that support trust and confidence in financial and non-financial information. The role involves client exposure, teamwork, learning to build meaningful connections, and adapting to ambiguity while anticipating the needs of clients and teams. The position may require travel up to 20%. The salary range is $53,500–$104,000; actual compensation depends on skills, experience, qualifications, location, and applicable employment laws. Hired individuals are eligible for an annual discretionary bonus. PwC lists medical, dental, vision, 401(k), holiday pay, vacation, and personal and family sick leave among its benefits.

Requirements

Currently pursuing or have completed a bachelor's degree in Computer Science, Data Processing/Analytics/Science, Artificial Intelligence and Robotics, Applied Physics, Chemistry, or Mathematics.
At least a 3.0 overall GPA.
Client service associate positions are entry-level; candidates must have completed or be in the process of completing their final academic year of educational requirements.

Nice To Haves

A 3.5 overall GPA is preferred.
Leverage AI to create efficiencies, innovate ways of working, and deliver distinctive outcomes.
Experience utilizing Azure AI Services and Google Vertex AI.
Developing skills in Generative AI and Machine Learning.
Engagement with LangChain and LLM APIs for AI solutions.
Demonstrate intellectual curiosity and active listening.
Excel in teamwork and client support environments.

Responsibilities

Develop and implement AI-powered contact center solutions to enhance customer interactions.
Use Azure AI Services and Google Vertex AI to deploy and manage AI models.
Apply data science techniques to analyze complex datasets and generate actionable insights.
Collaborate with teams to integrate machine learning and natural language processing into client projects.
Use prompt engineering to optimize language model outputs for specific applications.
Use Python to build and refine AI-driven applications.
Conduct LLM evaluation to assess model performance and validate compliance with safety standards.
Implement LLMOps practices to monitor and govern large language models in production environments.
Support client engagements with technical expertise in generative AI and related technologies.
Participate in teamwork to drive innovation and deliver quality client solutions.