About the role
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What you will 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.
What they are looking for
- 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.
Full posting text
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Cookie Policy Decline Accept Cookies Risk Services - AI Factory: Forward Deployed Engineer (Senior Associate / Manager / Senior Manager) page is loaded Risk Services - AI Factory: Forward Deployed Engineer (Senior Associate / Manager / Senior Manager) Apply locationsSingapore time typeFull time posted onPosted 30+ Days Ago job requisition id739673WD 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? No Job Posting End Date Similar Jobs (1) Risk Services - AI Factory (AI Engineer), Associate / Senior Associate / Assistant Manager locationsSingapore time typeFull time posted onPosted 30+ Days Ago About Us Are you ready to make a difference? Want to unlock new value by applying your unique perspective and talents? You can grow exponentially at PwC. Here, you can uncover hidden talents, build lifelong relationships rooted in trust and empathy and turn challenges into opportunities for innovation.
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