Full Stack AI Engineer - Senior Associate - Commercial Technology & Innovation

Overview

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.

As part of the Data and Analytics Engineering team you will contribute to the evolution of AI technologies and methodologies. As a Senior Associate, you will analyze complex problems, mentor others, and maintain elevated standards while navigating intricate situations to drive project success.

• Uphold exceptional standards in deliverables.
• Work with diverse teams to improve product development.
• Navigate complex scenarios to secure project success.
• Maintain remarkable quality and performance in tasks.
• Foster a culture of continuous improvement and innovation.

• Bachelor's Degree.
• 3 years of experience.

• Master's Degree in Computer Engineering, Computer Science, Artificial Intelligence and Robotics, Software Engineering, Data Processing/Analytics/Science preferred.
• Designing and deploying machine learning models and LLMs.
• Developing scalable, cloud‑native microservices with Docker and Kubernetes.
• Building end‑to‑end AI applications for web, mobile, or API‑first platforms.
• Managing CI/CD pipelines for AI systems using Git Hub Actions and MLflow.
• Implementing vector databases and RAG pipelines with orchestration tools.
• Translating complex business problems into software‑engineered AI solutions.
• Fine‑tuning models on domain‑specific data.
• Applying Responsible AI practices including governance and ethics.

Learn more about how we work: (Use the "Apply for this Job" box below).-work

As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.

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…