Senior AI Engineer, IT Solutions 1

We are seeking a highly motivated and technically proficient AI Engineer to join our growing Data & Analytics this role you will be a key liaison between business stakeholders and the technical AI team translating complex business challenges into scalable artificial intelligence and machine learning solutions. You will be responsible for defining technical requirements designing AI architectures (including Generative AI and RAG patterns) and collaborating with the Data Center of Excellence to deliver high-quality production-ready AI tools that drive innovation and operational efficiency across the organization.

• Elicit and document technical requirements for AI and Machine Learning projects through workshops and deep dives with stakeholders across various departments.

• Define the technical feasibility of proposed AI use cases identifying appropriate model architectures (LLMs SLMs or traditional ML) and success metrics (Accuracy F1-score Perplexity etc.).

• Analyze existing business processes to identify automation opportunities and areas where Generative AI can provide a competitive advantage.

• Work with stakeholders to identify and prepare high-quality datasets for model training fine-tuning and grounding.

• Design and implement data ingestion pipelines for vector databases ensuring data integrity and optimal embedding strategies for Retrieval-Augmented Generation (RAG).

• Collaborate with data engineers to ensure scalable secure and compliant data flows between enterprise systems and AI models.

• Develop test and refine AI prompts and orchestration workflows using frameworks like LangChain LlamaIndex or Semantic Kernel.

• Evaluate and select appropriate foundation models (OpenAI Anthropic Llama etc.) based on performance cost and latency requirements.

• Translate business logic into technical specifications for API integrations model endpoints and user interfaces.

• Implement MLOps best practices to ensure the continuous integration and deployment (CI/CD) of AI models.

• Establish monitoring frameworks to track model performance drift and hallucination rates in production environments.

• Ensure AI solutions adhere to corporate data governance security and ethical AI principles.

• Essential Skills:

  • 11 years of experience in Information Technology Software Engineering or Data Science with a significant focus on AI/ML development.

  • Strong understanding of Generative AI landscapes including LLMs prompt engineering and vector databases (e.g. Pinecone Weaviate Milvus).

  • Proven ability to architect end-to-end AI solutions from discovery to production deployment.

  • Excellent communication skills with the ability to explain complex technical AI concepts to non-technical business leaders.

  • Advanced proficiency in Python and relevant libraries (NumPy Pandas PyTorch or TensorFlow).

  • Experience with Cloud AI Services (Azure AI Studio AWS Bedrock or Google Vertex AI Preferred).

  Desirable Skills:

  • Knowledge of SQL and advanced data modeling for structured and unstructured data.

  • Familiarity with MLOps tools (MLflow Kubeflow) and containerization (Docker Kubernetes).

  • Experience working in an Agile/Scrum development environment.

  • Knowledge of AI security frameworks and responsible AI practices (e.g. OWASP for LLMs MCP).

  • Industry experience in manufacturing or a related industrial sector.

• Duties of this position are performed in a normal office environment.
• Duties may require extended periods of sitting and sustained visual concentration on a computer monitor or on numbers and other detailed data. Repetitive manual movements (e.g. data entry using a computer mouse using a calculator etc.) are frequently required.

The stated range includes Base Salary and target Short-Term Incentive (STI) compensation only. A comprehensive benefits package is offered in addition to this range.

The range described in this posting is an estimate by the Company and may change based on several factors including but not limited to a change in the duties covered by the job posting or the credentials experience or geographic jurisdiction of the successful candidate.

Salary Range: $123200 - 173200 CAD

• 11 years of progressive experience in technical roles with at least 3-5 years specifically focused on AI/ML engineering or architecture.

• Proven track record of delivering production-grade AI applications.

• AI-related certifications (e.g. Azure AI Engineer Associate AWS Machine Learning Specialty) are highly preferred.

• Bachelors or Masters degree in Computer Science Artificial Intelligence Data Science Mathematics or a related field; or a robust combination of work experience and specialized AI certification.

This job description is not intended to be an exhaustive list of all duties and responsibilities of the position. Employees are held accountable for all duties of the job. Job duties and the % of time identified for any function are subject to change at any time.