Senior Associate - AI Engineer

5 Minutes ago • All levels

Research Development

Job Description

As part of our Data Innovation team, we are seeking an AI/ML Engineer with expertise in Natural Language Processing (NLP) and foundational knowledge of Retrieval-Augmented Generation (RAG). This role involves assisting in the development and structuring of our internal AI Services Catalog, collaborating with product and engineering teams to design and integrate practical AI-powered solutions. Responsibilities include defining roadmaps for AI adoption, aligning initiatives with organizational goals, integrating AI solutions into existing technologies, developing proof-of-concepts, packaging AI capabilities via APIs or cloud-native services, and fine-tuning NLP pipelines and Gen-AI services using LLMs and RAG.

Good To Have:

A willingness to learn and explore prompt engineering.
Knowledge of agentic frameworks.

Must Have:

Assist in developing a structured catalog of AI services and defining roadmaps for adoption.
Work closely with AI product managers and business teams to align AI initiatives with organizational goals.
Collaborate with data scientists, data engineers, developers and product managers to seamlessly integrate AI solutions into existing technologies.
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 Gen-AI based services using LLMs and retrieval-based architectures (RAG).
Stay up to date with the latest advancements in AI, NLP, and LLM ecosystems.
A bachelor's or master's degree in computer science, AI/ML or a related technical field.
Some experience or coursework in building NLP applications.
Knowledge about cloud services, more particularly Azure with Azure OpenAI and Azure Cognitive Search.
Hands-on experience with Python and ML frameworks like PyTorch, TensorFlow, Hugging Face Transformers, LangChain and LLamaIndex.
An understanding of Retrieval-Augmented Generation (RAG) pipelines and vector databases.
Experience with Terraform (must-have).

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Job Description & Summary

Your mission:

As part of our Data Innovation team, we’re looking for an AI/ML Engineer with skills in Natural Language Processing (NLP) and basic knowledge of Retrieval-Augmented Generation (RAG). In this role you will assist in building and structuring our internal AI Services Catalog, working closely with product and engineering teams to design and integrate practical AI-powered solutions.

Be part of our team where you will:

Assist in developing a structured catalog of AI services and defining roadmaps for adoption.
Work closely with AI product managers and business teams to align AI initiatives with organizational goals.
Collaborate with data scientists, data engineers, developers and product managers to seamlessly integrate AI solutions into existing technologies.
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 Gen-AI based services using LLMs and retrieval-based architectures (RAG).
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).

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.
Some experience or coursework in building NLP applications.
Knowledge about cloud services, more particularly Azure with Azure OpenAI and Azure Cognitive Search.
Hands-on experience with Python and ML frameworks like PyTorch, TensorFlow, Hugging Face Transformers, LangChain and LLamaIndex.
A willingness to learn and explore prompt engineering.
An understanding of Retrieval-Augmented Generation (RAG) pipelines and vector databases.
Experience with Terraform (must-have).
Knowledge of agentic frameworks (considered a plus).

...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.

Education

Degrees/Field of Study required:

Degrees/Field of Study preferred:

Certifications

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}