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PwC

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

PwC is hiring a Risk Services - AI Factory (AI Engineer), Associate / Senior Associate / Assistant Manager in Singapore, Singapore. Level rates it ; you can apply on PwC.

Level's read on this job

  • On Level's scale, this AI engineer role is Builds AI ●●●●: the job is building AI systems.
  • The posting mentions visa sponsorship.
  • The posting mentions Python, JavaScript and TypeScript among its tools and skills.
  • Level classes it as a senior role.
  • PwC has 3,700+ other open roles on Level.

AI in this role

AI Engineer responsible for designing and building full-stack applications and agentic AI products within the AI Factory.

PythonJavaScriptTypeScriptReactNext JsNode.jsAWSAzureGoogle Cloud
full-stack-developmentagentic-productsdata-pipelinesmodel-servingci-cd

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

How we rate this

Risk Services - AI Factory (AI Engineer), Associate / Senior Associate / Assistant Manager at PwC rates 85 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Full Stack DevelopmentAgentic ProductsData PipelinesModel ServingCI/CDPythonJavaScriptTypeScript

Also common in AI engineer jobs at this level

Pay

Typical AI engineer job
$184k

This posting doesn't list pay. Use the typical AI engineer figure when pay comes up. See AI engineer jobs

Questions you could be asked

  1. Tell me about a project where full stack development was part of your work. What did you do?
  2. Tell me about a project where agentic products was part of your work. What did you do?
  3. Tell me about a project where data pipelines was part of your work. What did you do?
  4. Tell me about a project where model serving was part of your work. What did you do?
  5. Tell me about a project where ci/cd was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: Full Stack Development, Agentic Products, Data Pipelines, Model Serving, and CI/CD. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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