PwCPosted 3mo ago

Risk Services - AI Factory: Forward Deployed Engineer (Senior Associate / Manager / Senior Manager)

Risk Services - AI Factory: Forward Deployed Engineer (Senior Associate / Manager / Senior Manager) at PwC scores 66 out of 100 on AI centrality, which makes it AI Level 3 of 4 (Works on AI) on this board. The level measures how much of the work is AI, not seniority.

SingaporeseniorFull time

AI in this role

prompt-engineeringragml-ops

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 364,000 people in 136 countries and 137 territories. 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.

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.

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?

Yes

Government Clearance Required?

Job Posting End Date

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

Prompt EngineeringRagMl Ops

Questions you could be asked

How do you structure and test a prompt to get consistent output from a language model?
How would you design a retrieval step so the model answers from real data instead of guessing?
How do you monitor a model once it's live, and how do you know it needs retraining?
Describe a typical day in a role like this one: which parts run through AI directly?
If you removed AI from this role, what would be left, and how do you decide what still needs a human?

Adapt your resume

List these exact terms on your resume: Prompt Engineering, Rag, and Ml Ops. 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.
Show where AI is part of your daily process, not a one-off project — this role expects it to be a running habit.

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