Director, Artificial Intelligence

Jobtailor

Montreal (administrative region)

On-site

CAD 150,000 - 230,000

Full time

14 days+

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Job summary

Jobtailor is seeking a strategic AI Leader to define and evolve the AI Squad vision in alignment with organizational priorities. You will build and grow a multidisciplinary team across product management, data, AI engineering, software development, and delivery.

You will oversee selection and execution of high-impact AI use cases, drive PoCs to production, ensure governance, privacy, security, and risk management, and partner with executives to shape technology roadmaps.

Qualifications

  • Recognized for inspiring leadership and ability to build high-performing multidisciplinary teams.
  • Strong knowledge of AI technologies, Generative AI, LLMs, RAG architectures, intelligent agents, and MLOps/LLMOps practices.
  • Strong business acumen and ability to transform opportunities into measurable initiatives delivering results.
  • Solid understanding of governance, security, privacy, regulatory compliance, and responsible AI practices.
  • Excellent communication, influence, and knowledge-sharing with technical, non-technical, and executive audiences.
  • Significant leadership experience in technology delivery, digital transformation, data, or AI.
  • Advanced French and English proficiency is required.

Responsibilities

  • Define, communicate, and evolve the AI Squad vision in line with strategic priorities.
  • Lead a multidisciplinary team across product, data, AI engineering, software and delivery.
  • Prioritize and execute a portfolio of high-impact AI use cases.
  • Transform ideas and PoCs into production-ready AI solutions.
  • Collaborate with business, IT, architecture, data, cybersecurity, and governance teams.

Skills

Inspiring leadership
Communication
Business acumen
Executive influence

Education

Computer science degree
Information systems degree

Tools

MLOps/LLMOps
Cloud platforms
Observability tools

Job description

  • Define, communicate, and evolve the vision of the AI Squad in alignment with organizational strategic priorities and business needs
  • Build, lead, and grow a multidisciplinary team encompassing expertise in product management, data, AI engineering, software development, and delivery
  • Oversee the selection, prioritization, and execution of a portfolio of high-impact AI use cases, balancing business value, technical feasibility, risk, and delivery capacity
  • Drive the transformation of ideas, proofs of concept, and prototypes into robust, secure, measurable, and production-ready solutions
  • Collaborate closely with business, IT, architecture, data, cybersecurity, compliance, privacy, risk, and operations teams to ensure the responsible and seamless integration of AI solutions
  • Establish AI delivery practices, standards, and frameworks, including RAG architectures, AI agents, LLMOps/MLOps practices, model evaluation, observability, security, and governance
  • Promote the responsible use of artificial intelligence by integrating principles of ethics, transparency, privacy, security, and risk management
  • Implement value measurement mechanisms to assess adoption, business outcomes, solution quality, and overall initiative performance
  • Support strategic decisions related to AI platforms, models, cloud services, and technology roadmaps
  • Develop team talent through coaching, recruiting, prioritization, and capability building
  • Represent the AI function with internal partners and executive governance bodies
  • Maintain active awareness of emerging trends, innovations, and best practices in artificial intelligence and digital solution delivery.
Requirements
  • Recognized for inspiring leadership and the ability to build and develop high-performing multidisciplinary teams
  • Strong knowledge of artificial intelligence technologies, including Generative AI, Large Language Models (LLMs), RAG architectures, intelligent agents, and MLOps/LLMOps practices
  • Strong business acumen and proven ability to transform complex opportunities into concrete initiatives that deliver measurable results
  • Solid understanding of governance, security, privacy, regulatory compliance, and responsible AI practices
  • Excellent communication, influence, and knowledge-sharing skills with technical, non-technical, and executive audiences
  • Significant leadership experience in technology delivery, digital transformation, data, advanced analytics, or artificial intelligence
  • Intellectual curiosity, sound judgment, operational rigor, and a strong customer-centric mindset
  • Relevant university degree in computer science, software engineering, data science, information systems, business administration, analytics, or a related field
  • Experience working in regulated environments, particularly in financial services, insurance, or organizations managing sensitive data
  • Advanced French and English proficiency is required.
Core Competencies

Demonstrates expertise in leading multidisciplinary teams to deliver high-impact AI solutions while ensuring compliance with governance, security, and ethical standards. Proficient in transforming complex AI initiatives into measurable business outcomes through strategic decision-making and effective communication.

Highest-signal resume keywords
  • Artificial Intelligence Technologies
  • Generative AI
  • MLOps/LLMOps Practices
  • Governance and Compliance
  • Leadership in Technology Delivery
ATS Optimization Keywords
Hard Skills
  • AI Engineering
  • Data Science
  • Software Development
  • Digital Transformation
  • Advanced Analytics
  • RAG Architectures
  • Model Evaluation
  • Observability
  • Security Practices
  • Risk Management
Soft Skills
  • Inspiring Leadership
  • Excellent Communication
  • Influence Skills
  • Knowledge Sharing
  • Customer-Centric Mindset
Industry Keywords
  • Regulatory Compliance
  • Financial Services
  • Insurance
  • Sensitive Data Management
  • Ethics in AI
Tools & Technologies
  • AI Platforms
  • Cloud Services
  • AI Agents
  • Digital Solutions
  • Emerging Trends in AI
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