Apply Digital

Director of AI

Apply Digital

full-time

Posted on:

Location Type: Hybrid

Location: Toronto • Canada

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Job Level

Lead

Tech Stack

Cloud

About the role

  • Act as the AI, LLM, and Data Science SME on client engagements, supporting discovery, solution design, and delivery activities.
  • Lead technical discussions with client stakeholders to assess AI readiness, data availability, architectural considerations, and feasibility.
  • Design and guide AI solution approaches, including: Large language model–based applications (e.g., retrieval-augmented generation, orchestration, evaluation). Applied machine learning and data science workflows. Integration with enterprise data platforms and digital systems.
  • Collaborate with data engineers, platform engineers, and application teams to ensure AI solutions align with cloud-native architectures and delivery standards.
  • Support the progression of AI initiatives from early experimentation into implementation phases suitable for broader organizational adoption.
  • Advise on evaluation, monitoring, and operational considerations for AI and machine learning solutions.
  • Embed responsible AI, privacy, security, and compliance considerations into solution design and delivery.
  • Partner with cross foundational teams to support proposals, discovery workshops, and active client engagements.
  • Contribute to reusable AI patterns, approaches, and documentation that can be leveraged across multiple clients.
  • Stay current with emerging AI, LLM, and data science techniques, applying new capabilities where they provide clear value.

Requirements

  • 8+ years of experience working with AI, data science, or machine learning in enterprise or consulting environments.
  • Demonstrated experience acting as a subject matter expert on complex, client-facing technical initiatives.
  • Master’s degree in Artificial Intelligence, Computer Science, Data Science, Machine Learning, or a related field is required.
  • Strong understanding of modern AI approaches, including large language models and applied machine learning.
  • Experience designing AI solutions that integrate with enterprise data platforms and cloud-native architectures.
  • Exposure to MLOps or LLMOps practices, including deployment, monitoring, and lifecycle management.
  • Familiarity with data science workflows, model evaluation, and performance trade-offs.
  • Solid understanding of data privacy, security, and compliance considerations related to AI systems.
  • Ability to communicate complex technical concepts clearly to both technical and non-technical audiences.
  • Strong analytical and problem-solving skills, with sound judgment in balancing innovation, risk, and practicality.
Benefits
  • Great projects: Broaden your skills on a range of engaging projects with international brands that have a global impact.
  • An inclusive and safe environment: We’re truly committed to building a culture where you are celebrated and everyone feels welcome and safe.
  • Learning opportunities: We offer generous training budgets, including partner tech certifications, custom learning plans, workshops, mentorship, and peer support.
  • Generous vacation policy: Work-life balance is key to our team’s success, so we offer flexible personal time offer (PTO); allowing ample time away from work to promote overall well-being.
  • Customizable benefits: Tailor your extended health and dental plan to your needs, priorities, and preferences.
  • Flexible work arrangements: We work in a variety of ways, from remote, to in-office, to a blend of both.
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
AIdata sciencemachine learninglarge language modelsMLOpsLLMOpsdata privacysolution designmodel evaluationcloud-native architectures
Soft Skills
analytical skillsproblem-solving skillscommunication skillsjudgmentcollaborationleadershipclient engagementtechnical discussionsinnovationrisk management
Certifications
Master’s degree in Artificial IntelligenceMaster’s degree in Computer ScienceMaster’s degree in Data ScienceMaster’s degree in Machine Learning