Ai/Ml Engineer

Position SummaryThe AI/ML Engineer will design, develop, integrate and deploy AI and machine learning solutions that improve business processes, operational efficiency and decision-making across the enterprise.
The role focuses on generative AI, large language models (LLMs), retrieval-augmented generation (RAG), AI agents, workflow automation, predictive analytics and production AI operations. The successful candidate will collaborate with business stakeholders, Systems Development and IT to deliver secure, scalable and maintainable solutions using Microsoft technologies, third-party AI platforms and open-source tools.
Key Responsibilities
Design and develop AI applications, LLM-powered solutions, RAG systems and AI agents
Build intelligent workflows and integrate AI capabilities with enterprise applications, APIs and data sources
Liaise with the data and analytics team to develop data pipelines and prepare structured and unstructured data for AI and machine learning applications
Develop and evaluate machine learning models for forecasting, classification, prediction and other business use cases
Deploy, monitor and maintain AI applications and models in production environments
Implement testing, version control, CI/CD, monitoring and MLOps practices to ensure solution reliability and maintainability
Evaluate AI solution quality, performance, accuracy, cost and scalability
Apply security, privacy, access control and responsible AI principles in accordance with enterprise policies
Liaise with other teams to maintain technical documentation and contribute to continuous improvement of enterprise AI solutions
Key Competencies
Analytical thinking and problem-solving.
Strong software engineering and technical design skills.
Business-oriented approach to solution development.
Effective communication and collaboration.
Attention to security, quality and maintainability.
Adaptability and continuous learning.
Qualifications
Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, Data Science or a related field, or equivalent practical experience
3–5 years of relevant experience in software engineering, AI/ML engineering or applied AI development
Strong programming skills in Python and working knowledge of SQL
Practical experience with LLMs, AI APIs, prompt engineering and RAG concepts
Experience with APIs, data integration, data preparation and software development practices
Familiarity with cloud AI platforms, preferably Microsoft Azure, Azure OpenAI or comparable services
Understanding of deployment practices, automated testing, version control and MLOps
Knowledge of AI evaluation, data privacy, application security and responsible AI principles
Legally eligible to work in Canada
Nice to have
Experience with AI frameworks such as LangChain, LlamaIndex or Semantic Kernel
Familiarity with vector databases, embeddings, semantic search and AI agent orchestration
Experience with Microsoft 365, Azure AI services, Microsoft Azure, Azure AI Foundry, Azure OpenAI, Azure Machine Learning or Microsoft Power Platform and enterprise document management systems
Exposure to traditional machine learning, predictive analytics, Docker and CI/CD pipelines
Relevant cloud, AI or machine learning certifications
Kubernetes and infrastructure-as-code (Terraform)
Fine-tuning and LLM evaluation frameworks
Experience in a regulated enterprise setting
Extended Healthcare Plan (Medical, Disability, Dental & Vision)
Group RRSP
Group Life - AD&D - Critical Illness Insurance
Training & Development
Employee Assistance Program - Counseling
Paid Time Off
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