Enterprise AI Engineer - Databricks & Gen AI

Accenture PLC; Montreal; Hybrid; CAD 75,000 - 125,000; Full time

Job summary

Accenture PLC in Canada is seeking a Forward Deployed Technical Consultant specializing in Databricks and AI/ML. You will design, build, and operationalize AI solutions for enterprise clients, spanning data ingestion, model training, and production pipelines, with a focus on scalable lakehouse architectures and autonomous agents.

The role requires collaboration with analytics, data science, and cloud teams across Canada and the US, with a hybrid work model based in Mississauga/Montreal.

Qualifications

• Bachelor’s degree or equivalent in a related discipline.
• Minimum 3 years of experience with Microsoft Azure cloud data services.
• Minimum 3 years of hands-on Databricks experience: PySpark, Delta Lake, Auto Loader, Lakehouse Medallion Architecture.
• Experience with Git-based version control and CI/CD pipelines (Azure DevOps or GitHub Actions).
• Minimum 3 years of CS foundations: architecture and programming.
• Minimum 1 year in distributed computing systems and cloud compute.

Responsibilities

• Formulate AI/ML solutions solving real-world problems.
• Architect and maintain scalable data pipelines with Azure Databricks and Spark.
• Design lakehouse architecture with Bronze/Silver/Gold layers for governed data storage.
• Build autonomous agents using Databricks Mosaic AI Agent Framework and LangChain/AutoGen.
• Develop and optimize vector search indexes with Databricks Vector Search.
• Collaborate with business and technical teams to deliver end-to-end projects.

Skills

Python programming

English proficiency

Distributed computing

Education

Bachelor's degree in related discipline

Tools

Azure Databricks

Delta Lake

PySpark

CI/CD (Azure DevOps or GitHub Actions)

Job description

Accenture PLC in Canada is seeking a Forward Deployed Technical Consultant specializing in Databricks and AI/ML. You will design, build, and operationalize AI solutions for enterprise clients, spanning data ingestion, model training, and production pipelines, with a focus on scalable lakehouse architectures and autonomous agents.

The role requires collaboration with analytics, data science, and cloud teams across Canada and the US, with a hybrid work model based in Mississauga/Montreal.