Experienced AI Engineer

Line of Service

Assurance

Industry/Sector

Not Applicable

Specialism

Assurance

Management Level

Manager

Job Description & Summary

PwC Luxembourg is hiring an Experienced AI Engineer in the Data Innovation Team. What if it was you?   

PwC Luxembourg (www.pwc.lu) is the largest professional services firm in Luxembourg with over 3,800 people employed from 90 different countries. PwC Luxembourg provides audit, tax and advisory services including management consulting, transaction, financing and regulatory advice. The firm provides advice to a wide variety of clients from local and middle market entrepreneurs to large multinational companies operating from Luxembourg and the Greater Region. The firm helps its clients create the value they are looking for by contributing to the smooth operation of the capital markets and providing advice through an industry-focused approach. At PwC, our purpose is to build trust in society and solve important problems. We’re a network of firms in 149 countries with more than 370,000 people who 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 and www.pwc.lu. 

Your mission: We’re looking for an experienced AI/ML Engineer with strong hands-on skills in Natural Language Processing (NLP) and Retrieval-Augmented Generation (RAG). In this role, you’ll help build and structure our internal AI Services Catalog, working closely with product and engineering teams to design and integrate practical AI-powered solutions.   

Be a part of our team where you will: 

AI Services Catalog & Prioritization: 

• Develop a structured catalog of AI services, defining roadmaps for adoption. 

• Work closely with AI product managers and business teams to align AI initiatives with organizational goals. 

• Stay up to date with the latest advancements in AI, NLP, and LLM ecosystems (e.g., new RAG architectures, open-source models, vector stores, and cloud-native AI tools). 

Cross-Functional Collaboration: 

• Collaborate with data scientists, data engineers, developers, and product managers to seamlessly integrate AI solutions into existing technologies. 

• Run technical discussions and knowledge-sharing sessions on best practices in AI implementation. 

• Share insights and trends with the broader team to continuously evolve our AI capabilities. 

Proof of Concept & Model Optimization: 

• Develop and test proof-of-concepts to validate AI use cases.   

• Package and expose AI capabilities through APIs or cloud-native services.   

• Build and fine-tune NLP pipelines and GenAI-based services using LLMs and retrieval-based architectures (RAG). 

• Proactively evaluate and experiment with emerging tools and frameworks, bringing innovative ideas into our internal AI stack. 

Let’s talk about you. If you have … 

• A bachelor's or master's degree in computer science, AI/ML, or a related technical field. 

• A strong understanding of Retrieval-Augmented Generation (RAG) pipelines and vector databases. 

• A proven experience in building NLP applications 

• Hands-on experience with Python and ML frameworks like PyTorch, TensorFlow, Hugging Face Transformers, LangChain, and LLamaIndex. 

• A familiarity with Azure services, especially Azure OpenAI and Azure Cognitive Search. 

• A knowledge of prompt engineering. 

…You are the candidate we are looking for! 

A final word about us:  

At PwC, we believe diversity is the representation of all the characteristics that make us both alike and unique. Our backgrounds, cultures, nationalities, lifestyles, identities, opinions and beliefs, approaches to solving problems, ways of working, and views of personal and professional success, all add value to the services we deliver to our clients. Our objective is to nurture an inclusive environment where a diversity mindset is ingrained, and inclusion is the norm. We constantly focus on respecting and valuing individual differences. 

Ready to grow your potential, reaching excellence together? Apply now!  

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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, Coaching and Feedback, 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 {+ 30 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