Role : AI & Data ArchitectLocation : Toronto/Hybrid Role SummaryThe AI & Data Architect is responsible for defining and governing the enterprise architecture for data, analytics, and AI platforms, ensuring scalable, secure, and compliant AIdriven solutions. The role bridges business strategy, data platforms, and AI/ML engineering, enabling organizations to turn data into trusted intelligence and measurable business outcomes. Key ResponsibilitiesArchitecture & StrategyDefine endtoend AI & Data architecture across ingestion, storage, processing, analytics, and AI/ML layers.Establish enterprise data and AI architecture standards, patterns, and reference architectures.Align AI & Data strategy with business objectives, cloud strategy, and technology roadmaps.Data Platform & EngineeringDesign modern data platforms (lakehouse, data mesh, data fabric) to support batch, streaming, and realtime analytics.Guide data ingestion, transformation, metadata, lineage, and data quality strategies.Ensure interoperability across source systems, analytics platforms, and AI workloads.AI / ML EnablementArchitect AI/ML and GenAI solutions including model lifecycle, MLOps/LLMOps, and deployment patterns.Support scalable integration of predictive analytics, ML models, and GenAI capabilities into business applications.Ensure governable, explainable, and productionready AI solutions.Governance, Security & ComplianceEmbed data governance, privacy, security, and responsible AI principles into architecture designs.Ensure compliance with regulatory, risk, and enterprise security standards.Define observability, cost optimization, and resilience for AI & data platforms.Stakeholder LeadershipAct as a trusted advisor to business leaders, product teams, engineering teams, and vendors.Lead architecture reviews, design tradeoffs, and technology selection decisions.Mentor teams and promote architectural best practices across programs. Required Skills & Experience10+ years of experience in data, analytics, and architecture roles, with strong AI/ML exposure.Deep understanding of:Data architectures (Lakehouse, Data Mesh/Fabric)AI/ML & GenAI concepts and production patternsCloud platforms (AWS / Azure / GCP)Strong experience in enterprisescale architecture, system integration, and platform design.Ability to translate business vision into scalable technical architectures. Preferred QualificationsExperience in regulated industries (Banking, Financial Services, Insurance).Exposure to AI governance, model risk, and responsible AI frameworks.Architecture certifications (TOGAF, Cloud Architect, AI/Data certifications). Thanks & Regards,Trayambkeshwer Dwivedi (Trayam), Sr. Technical RecruiterRaas infotek corporation262 Chapman road, Suite 105A, Newark, DE-19702Direct number: 3022869764 | 132 Text Now: (424) 222 7980Email:
Job Title
AI & Data Architect