Director, AI Engineering (AI)

Location: Hybrid, Toronto or Waterloo, Ontario, Canada

Salary range: CAD 135,000–195,000, plus eligible bonus and incentive plans.

Company

hirify.global provides financial security and health-related services to clients worldwide.

What you will do

• Own the Corporate IT AI strategy, roadmap, use-case prioritization, licensing, vendor relationships and cloud spend.
• Define enterprise AI architecture patterns and guide integration with collaboration platforms, identity services, APIs and enterprise data platforms.
• Build and operate AI platform capabilities including LLM gateways, retrieval-augmented generation, vector stores, prompt management and evaluation.
• Deliver AIOps and IT service-management automation for event correlation, anomaly detection, remediation, ticket triage, virtual agents and knowledge search.
• Establish security, privacy, responsible AI, model-risk and governance controls, including protection against data leakage, prompt injection and model abuse.
• Lead AI engineering, platform and automation teams, mentor employees, manage strategic partners and oversee service delivery, adoption and operational readiness.

Requirements

• Hands-on experience building and delivering AI or machine-learning solutions into production, with a foundation in software engineering, data engineering or machine learning.
• Experience designing AI engineering patterns, guiding technical implementation and remaining actively involved in solution development.
• Proficiency with Python and experience with data integration, data pipelines or extract, transform and load processes.
• Experience with cloud AI services and APIs on Amazon Web Services, Microsoft Azure or both.
• Practical knowledge of generative AI, large language models, retrieval-augmented generation, model evaluation and production monitoring.
• Experience with information security, data protection, responsible AI and technology governance in a complex, regulated or highly governed enterprise.
• Ability to explain technical recommendations to engineering teams, senior leaders and business stakeholders, mentor colleagues and build alignment.
• Amazon Web Services, Microsoft Azure or AI-related training or certification.
• Degree or advanced education in computer science, software engineering, data science, machine learning or a related discipline, or equivalent work experience.

Culture & Benefits

• Hybrid work with flexibility to work from the office and virtually based on business, client and employee needs.
• Competitive salary and bonus program based on market scale.
• Flexible group insurance beginning on the first day of work.
• Share Ownership Program with employer matching contributions.
• Inclusive workplace recognized among Canada's Best Workplaces in 2026.