Risk Services - AI Factory (AI Engineer), Associate / Senior Associate / Assistant Manager

Line of Service

Assurance

Industry/Sector

Not Applicable

Specialism

Analytics

Management Level

Senior Associate

Job Description & Summary

At PwC, we help clients build trust and reinvent so they can turn complexity into competitive advantage. We’re a tech-forward, people-empowered network with more than 370,000 people in 149 countries. Across audit and assurance, tax and legal, deals and consulting we help clients build, accelerate and sustain momentum. Find out more at www.pwc.com.

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.

The AI Factory is dedicated to driving AI innovation and excellence across our network. Our mission is to facilitate collaboration across PwC network and territories to build faster and impactful AI solutions for client service delivery.

Responsibilities

Design, build, and maintain full‑stack applications with seamless front‑/back‑end integration.
Understand business processes and build agentic products.
Build reliable data pipelines and model serving; implement testing, monitoring, and CI/CD.
Deploy to cloud (AWS/Azure/GCP); monitor performance and drive continuous improvement.
Translate client needs into technical plans; lead delivery and project execution.

Requirements

Bachelor's or Master’s degree in Computer Science, Engineering, or equivalent experience.
Experience in front-end (JavaScript/TypeScript, React, Next.js) and back-end (Python, Node.js).
Experience with deployment on AWS, Azure, or GCP.

Senior Associate (Minimum 3 years)

Demonstrated ability to develop and implement full-stack applications.
Proficiency in creating and managing data pipelines.

Assistant Manager (Minimum 5 years)

Designed and implemented multiple full-stack applications.
Experience in managing project scope, timeline, and stakeholder communications.

Education (if blank, degree and/or field of study not specified)

Degrees/Field Of Study Required

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, AI Implementation, Analytical Thinking, C++ Programming Language, Communication, Complex Data Analysis, Creativity, Data Analysis, Data Infrastructure, Data Integration, Data Modeling, Data Pipeline, Data Quality, Deep Learning, Embracing Change, Emotional Regulation, Empathy, GPU Programming, Inclusion, Intellectual Curiosity, Java (Programming Language), Learning Agility, Machine Learning {+ 25 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Not Specified

Available for Work Visa Sponsorship?

No

Government Clearance Required?

No

Job Posting End Date