GenAI Engineer: Enterprise AI & LLM Architect

Capgemini; Montreal (administrative region); Hybrid; CAD 79,000 - 105,000; Full time

Job summary

Capgemini is seeking a GenAI & AI/ML Framework Specialist in Canada to design, build, and scale next-generation AI solutions. You will develop advanced ML algorithms, optimize open-source frameworks, and implement Generative AI architectures into enterprise applications.

Role requires 8+ years in data science or AI engineering with 2+ years in Generative AI and a Master’s in a quantitative field. Hybrid work in Montreal and strong collaboration across teams is expected.

Qualifications

• 8+ years in data science or AI engineering with 2+ years in Generative AI.
• Master’s degree in a quantitative field or equivalent.
• Deep knowledge of ML/DL algorithms and AI frameworks.

Responsibilities

• Design and deploy Generative AI solutions using LLMs and diffusion models.
• Develop scalable data pipelines and optimize AI frameworks for speed and cost.
• Integrate AI models into production architectures and enterprise workflows.

Skills

GenAI

AI/ML

Python

PyTorch

TensorFlow

JAX

Reinforcement learning

LLMs

RAG

Prompt engineering

Model deployment

Data preprocessing

Vector databases

Education

Master's in CS/Data Science/Math

Tools

Hugging Face

LangChain

LlamaIndex

vLLM

SQL/NoSQL

Vector DBs: ChromaDB/Pinecone/Milvus

AWS SageMaker

Azure AI

GCP Vertex AI

Job description

Capgemini is seeking a GenAI & AI/ML Framework Specialist in Canada to design, build, and scale next-generation AI solutions. You will develop advanced ML algorithms, optimize open-source frameworks, and implement Generative AI architectures into enterprise applications.

Role requires 8+ years in data science or AI engineering with 2+ years in Generative AI and a Master’s in a quantitative field. Hybrid work in Montreal and strong collaboration across teams is expected.