Risk Services - AI Factory (AI Engineer), Associate / Senior Associate / Assistant Manager
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Risk Services - AI Factory (AI Engineer), Associate / Senior Associate / Assistant Manager
Location
Singapore
Experience
Mid
Posted
Jul 7, 2026
Apply by
August 6, 2026
Applicants
0
Early applicantFull-timeWork from Office
Job Description
**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**
Key Responsibilities
- Design, build, and maintain full-stack applications with seamless front-end and back-end integration.
- Understand business processes and build agentic products.
- Build reliable data pipelines and model serving, implementing testing, monitoring, and CI/CD.
- Deploy to cloud platforms (AWS/Azure/GCP) and monitor performance for continuous improvement.
- Translate client needs into technical plans and lead delivery and project execution.
Requirements
- Bachelor's or Master’s degree in Computer Science
- Engineering
- or equivalent experience
Skills Required
JavaScriptTypeScriptReactNext.jsPythonNode.jsAWSAzureGCPData PipelinesCI/CDC++JavaDeep LearningGPU ProgrammingMachine LearningData InfrastructureData IntegrationData ModelingData QualityComplex Data AnalysisAccepting FeedbackActive ListeningAnalytical ThinkingCommunicationCreativityEmbracing ChangeEmotional RegulationEmpathyInclusionIntellectual CuriosityLearning Agility
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