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

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OtherForward Deployed Engineer

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Quick Summary

Key Responsibilities

Develop, deploy, and maintain Generative AI models and data analysis pipelines to collect, explore, and extract insights from client and engagement data.

Requirements Summary

Operates as a strong individual contributor, building and deploying solutions while developing client-facing skills. Manager: Leads workstreams, owns solution delivery,

Technical Tools

OtherForward Deployed Engineer

Assurance

Not Applicable

Analytics

Senior Associate

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.

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

~1 min read

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.

Responsibilities

~1 min read

→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.

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.

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

~1 min read

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.

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}