Lead enterprise AI architecture and governance as an Accenture deployment engineer, spanning identity, data, security, and multi-platform integration. Work directly with clients.This senior position converts strategic intent into scalable AI capabilities across real organizational environments. You will guide platform selection, architecture, lifecycle management, and adoption while collaborating with CTO, CFO, and CISO stakeholders. The work emphasizes production reliability, measurable value, and enterprise reinvention.Key Responsibilities: Translate executive strategy into production AI systemsEstablish enterprise AI architecture and governance standardsManage identity, data, security,



and lifecycle considerationsLead executive workshops and cross-practice architecture reviewsOwn client relationships with CTO, CFO, and CISO leadersRequirements: 10–15 years building APIs, microservices, containers, and serverless systemsExperience defining enterprise AI architecture standardsExperience with Open AI, Claude, Vertex AI, or open-source modelsExperience managing multi-provider AI pipeline abstraction layersExperience engaging executives on AI strategy and investmentBring enterprise architecture, AI platform, governance, and executive engagement expertise to Accenture’s client deployments.#J-18808-Ljbffr

📌 Enterprise Ai Deployment Architect (Quebec City)
🏢 Accenture
📍 Quebec City