AI Engineering Specialist

We are banking at another level.

Choosing BDC as your employer means working in a healthy, inclusive, and skilled workplace that puts forward the best conditions to bring together unique teams where employees are empowered to act. It also means being at the centre of ambitious economic and financial projects to see further and to do things differently, to fuel the success of Canadian entrepreneurs.

Choosing BDC as your employer also means:

• Flexible and competitive benefits, including an Employee Savings and Investment Plan where BDC matches part of your voluntary contributions, a Defined Benefit Pension Plan, a $750 wellness and health care spending account, to name a few   

• In addition to paid vacation each year, five personal days, sick days as necessary, and our offices are closed from December 25 to January 1

• A hybrid work model that truly balances work and personal life

• Opportunities for learning, training and development, and much more... 

Explore the BDC Way in our Culture Book

POSITION OVERVIEW

The AI Engineering Specialist is responsible for designing, developing, and deploying Generative AI and machine learning solutions that support BDC’s enterprise-wide digital transformation. This role bridges the gap between data science prototypes and scalable production systems, ensuring robust, ethical, and high-performing AI applications.

CHALLENGES TO BE MET

• Design, build, and deploy scalable AI/ML models, including LLMs,  GenAI and Agentic solutions.

• Collaborate with data scientists, data engineers, and business stakeholders to translate business needs into AI solutions.

• Develop and maintain MLOps pipelines using tools like MLflow and Azure DevOps 

• Implement Retrieval-Augmented Generation (RAG) and vector-based search for LLMs

• Monitor and optimize model performance in production environments.

• Ensure compliance with AI governance, ethical standards, and risk frameworks

• Data Preparation and Feature Engineering. Design and implement feature extraction pipelines. Ensure data quality and preprocessing for model training.

• Documentation and Knowledge Sharing. Maintain clear documentation of models, pipelines, and decisions. Contribute to internal wikis, playbooks, or AI governance frameworks.

• Tooling and Automation. Build internal tools or APIs to make AI capabilities reusable across teams. Automate retraining, monitoring, and alerting systems.

• Stay Current with AI Trends. Evaluate new research papers, tools, and frameworks. Propose innovative solutions based on emerging technologies.

WHAT WE ARE LOOKING FOR

• Technical Proficiency: Python, Spark, SQL, Git, Azure and Databricks 

• AI/ML Expertise: Experience with LLMs (e.g., GPT, Llama), GenAI, NLP, computer vision, and predictive analytics 

• MLOps: Familiarity with CI/CD, containerization (Docker), and lifecycle management tools.

• Soft Skills: Strong communication, curiosity, accountability, and ability to drive change 

• Experience: Minimum 3 years in AI/ML/Data engineering roles, with proven deployment of models into production

• Bachelor’s, Master’s, or PhD in Computer Science, Engineering, Data Science, or a related field

Proudly one of Canada’s Top 100 Employers and one of Canada’s Best Diversity Employers, we are committed to fostering a diverse, equitable, inclusive and accessible environment where all employees can thrive and feel empowered to bring their whole selves to work. If you require an accommodation to complete your application, please do not hesitate to contact us at [email protected].

While we appreciate all applications, we advise that only the candidates selected to participate in the recruitment process will be contacted.