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

PwC•New York, NY

12d•$53,500 - $104,000

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 contribute to client solutions. You will work directly with clients, providing insights and support as they navigate complex challenges. Associates learn and contribute to client engagements while building skills and knowledge to deliver quality work. The role provides client exposure and opportunities to build relationships, deepen technical knowledge of firm services and technology resources, and develop professionally. You will anticipate team and client needs, embrace ambiguity, ask questions, and use challenges as opportunities for growth. You will develop expertise in AI and data analytics alongside experienced professionals. Your work will support trust and confidence in financial and non-financial information and help clients make informed decisions. Travel may be up to 20%.

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.
For this entry-level client service associate role, have completed or be in the process of completing the final academic year of educational requirements.

Nice To Haves

A 3.5 overall GPA is preferred.
Use AI to create efficiencies, innovate ways of working, and deliver distinctive outcomes.
Experience using Azure AI Services and Google Vertex AI.
Developing skills in Generative AI and Machine Learning.
Experience with LangChain and LLM APIs for AI solutions.
Intellectual curiosity and active listening.
Ability to 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.
Work as part of a team to drive innovation and deliver quality client solutions.