Evaluate AI frameworks, platforms, and tools to recommend build-versus-buy decisionsGuide foundation model selection aligned with CBC use cases and infrastructure capabilitiesLead architecture of AI applications using LLMs, machine learning, deep learning, and NLPDevelop architectural roadmaps for GenAI, LLM, and agentic business-process initiativesLead integration of scalable AI systems, ML pipelines, and agentic AI workloadsMonitor emerging AI technologies and assess business valueEstablish standards for model performance, traceability, data lineage, and privacy complianceIdentify AI use cases from business requirementsIntegrate AI solutions with enterprise applicationsCraft prompts, evaluate outputs, and design automated end-to-end agentic workflowsTest and refine models for reliability, scalability, and production performanceSupport post-deployment monitoring and governanceLead technical discussions with stakeholders and development teamsDefine outcomes, success metrics, and value drivers with business leadersCollaborate with ethics and compliance teams on regulatory and governance adherenceMentor technical teams on AI architecture best practicesRequirementsBachelor's or Master's degree in Computer Science, Data Science, or a related field3–5 years of experience in software architecture, cloud architecture, data engineering, or AI solutions1–2 years of experience designing enterprise AI or machine learning solutionsExperience delivering cloud-native AI solutionsVendor-specific certifications such as Microsoft Certified: Agentic AI Business Solutions Architect or equivalent AWS/GCP architecture credentials highly valuedDeep understanding of ML, NLP, and AI application deployment using Python or RKnowledge of AI governance frameworks and responsible AI practicesExperience with data management systems and MLOps tools such as Kubernetes, Git,



and model registriesExceptional stakeholder management and technical leadershipExperience in media, broadcasting, or content distribution technology desiredFamiliarity with TOGAF, Zachman, or other enterprise architecture frameworks desiredExecutive communication and product management experience desiredCompliance expertise in regulated industries desiredAbility to multitask and manage concurrent or conflicting prioritiesStrong communication and coaching skillsAbility to work with remote teamsCandidates may be subject to skills and knowledge testingMandatory criminal record check for candidates advancing in the processCore CompetenciesDemonstrates expertise in AI architecture, including the integration of scalable AI systems and machine learning pipelines, while ensuring compliance with governance frameworks. Proficient in evaluating AI frameworks and leading technical discussions to align AI solutions with business objectives.Highest-signal resume keywordsAI Architecture LeadershipMachine Learning Solutions DesignCloud-Native AI Solutions DeliveryPython or R for AI DeploymentVendor-Specific AI CertificationsATS Optimization KeywordsHard SkillsAI Framework EvaluationMachine LearningDeep LearningNatural Language ProcessingData Management SystemsMLOps ToolsModel Performance StandardsAI Use Case IdentificationAutomated Workflow DesignModel Testing and RefinementSoft SkillsStakeholder ManagementTechnical LeadershipExecutive CommunicationCoaching SkillsMultitasking AbilityCertifications & QualificationsMicrosoft Certified: Agentic AI Business Solutions ArchitectAWS Architecture CredentialsGCP Architecture CredentialsIndustry KeywordsMedia TechnologyBroadcastingContent DistributionEnterprise Architecture FrameworksRegulated Industries ComplianceTools & TechnologiesKubernetesGitModel RegistriesCloud PlatformsAI Governance Frameworks #J-18808-Ljbffr

📌 Ai Lead Architect, Software And Platforms Architecture (Montreal)
🏢 Jobtailor
📍 Montreal