- 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




- Solid 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

📌 Director, Artificial Intelligence (Montreal)
🏢 Jobtailor
📍 Montreal