Define, communicate, and evolve the vision of the AI Squad in alignment with organizational strategic priorities and business needsBuild, lead, and grow a multidisciplinary team encompassing expertise in product management, data, AI engineering, software development, and deliveryOversee the selection, prioritization, and execution of a portfolio of high-impact AI use cases, balancing business value, technical feasibility, risk, and delivery capacityDrive the transformation of ideas, proofs of concept, and prototypes into robust, secure, measurable, and production-ready solutionsCollaborate closely with business, IT, architecture, data, cybersecurity, compliance, privacy, risk, and operations teams to ensure the responsible and seamless integration of AI solutionsEstablish AI delivery practices, standards, and frameworks, including RAG architectures, AI agents, LLMOps/MLOps practices, model evaluation, observability, security, and governancePromote the responsible use of artificial intelligence by integrating principles of ethics, transparency, privacy, security, and risk managementImplement value measurement mechanisms to assess adoption, business outcomes, solution quality, and overall initiative performanceSupport strategic decisions related to AI platforms, models, cloud services, and technology roadmapsDevelop team talent through coaching, recruiting, prioritization, and capability buildingRepresent the AI function with internal partners and executive governance bodiesMaintain active awareness of emerging trends, innovations, and best practices in artificial intelligence and digital solution delivery.RequirementsRecognized for inspiring leadership and the ability to build and develop high-performing multidisciplinary teamsStrong knowledge of artificial intelligence technologies, including Generative AI, Large Language Models (LLMs), RAG architectures, intelligent agents,



and MLOps/LLMOps practicesStrong business acumen and proven ability to transform complex opportunities into concrete initiatives that deliver measurable resultsSolid understanding of governance, security, privacy, regulatory compliance, and responsible AI practicesExcellent communication, influence, and knowledge-sharing skills with technical, non-technical, and executive audiencesSignificant leadership experience in technology delivery, digital transformation, data, advanced analytics, or artificial intelligenceIntellectual curiosity, sound judgment, operational rigor, and a robust customer-centric mindsetRelevant university degree in computer science, software engineering, data science, information systems, business administration, analytics, or a related fieldExperience working in regulated environments, particularly in financial services, insurance, or organizations managing sensitive dataAdvanced French and English proficiency is required.Core CompetenciesDemonstrates 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 keywordsArtificial Intelligence TechnologiesGenerative AIMLOps/LLMOps PracticesGovernance and ComplianceLeadership in Technology DeliveryATS Optimization KeywordsHard SkillsAI EngineeringData ScienceSoftware DevelopmentDigital TransformationAdvanced AnalyticsRAG ArchitecturesModel EvaluationObservabilitySecurity PracticesRisk ManagementSoft SkillsInspiring LeadershipExcellent CommunicationInfluence SkillsKnowledge SharingCustomer-Centric MindsetIndustry KeywordsRegulatory ComplianceFinancial ServicesInsuranceSensitive Data ManagementEthics in AITools & TechnologiesAI PlatformsCloud ServicesAI AgentsDigital SolutionsEmerging Trends in AI #J-18808-Ljbffr

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