Overview
About the AI Factory
The AI Factory drives AI innovation across the PwC network, fostering collaboration across PwC territories to deliver faster, high-impact AI solutions that enhance client service delivery.
About the Role
As a Forward Deployed Engineer, you’ll work at the intersection of cutting-edge AI development and real-world client delivery. Embedded directly with teams across our lines of service, you’ll build, deploy, and maintain Generative AI solutions on the ground, translating complex business challenges into working products and actionable insights. This is a hands-on, client-facing role for engineers who want to see their work create impact in the field.
What You’ll Do
- Build and deploy AI solutions: Develop, deploy, and maintain Generative AI models and data analysis pipelines to collect, explore, and extract insights from client and engagement data.
- Collaborate with stakeholders: Communicate and collaborate effectively with engagement teams and key stakeholders, supporting risk management and governance processes throughout delivery.
- Own end-to-end delivery: Manage projects from start to finish, clarifying requirements and designing analytical approaches aligned to business objectives.
How the Role Scales
- Senior Associate: Operates as a strong individual contributor, building and deploying solutions while developing client-facing skills.
- Manager: Leads workstreams, owns solution delivery, and guides junior engineers while managing stakeholder relationships.
- Senior Manager: Shapes the technical direction of engagements, leads teams across multiple workstreams, and drives AI strategy in partnership with senior client and PwC leadership.
What You’ll Bring
- A degree in a quantitative field (Data Science, Computer Science, Applied Statistics, Mathematics, or similar) with 3+ years of relevant experience.
- Hands-on experience with LLMs, open-source frameworks, big data technologies, machine learning, and numerical programming tools.
- Strong proficiency in Python.
Nice to Have
- Experience with cloud platforms (Azure, AWS, or GCP).
- Familiarity with RAG pipelines, vector databases, and prompt engineering.
- Exposure to MLOps and productionizing machine learning systems.
- Prior consulting or client-facing experience.
At PwC, our purpose is to build trust in society and solve important problems. We are committed to delivering quality in assurance, advisory and tax services. Find out more and tell us what matters to you by visiting us at www.pwc.com/sg. PwC refers to the PwC network and/or one or more of its member firms, each of which is a separate legal entity.
Explore more:
Job ID: 739673WD
About PwC Singapore
At PwC, our purpose is to build trust in society and solve important problems - this is at the core of everything we do from the value we provide to our clients and society to the decisions we make as a corporate.
Our services started with audit and assurance over a century ago. As times change and the issues faced by businesses and individuals evolved, we have developed specialised capabilities in tax, advisory and consulting to help you address emerging new challenges across focus areas like digital transformation, cyber security and privacy, data, sustainability, mergers and acquisitions, and more.
In Singapore, we have more than 3,500 partners and staff to help resolve complex issues and identify opportunities for public, private and government organisations to progress. As part of the PwC network of more than 284,000 people in 155 countries, we are among the leading professional services networks in the world focusing on helping organisations and individuals create the value they are looking for.
