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 systems
Establish enterprise AI architecture and governance standards
Manage identity, data, security, and lifecycle considerations
Lead executive workshops and cross-practice architecture reviews




Own client relationships with CTO, CFO, and CISO leaders
Requirements: 10–15 years building APIs, microservices, containers, and serverless systems
Experience defining enterprise AI architecture standards
Experience with OpenAI, Claude, Vertex AI, or open-source models
Experience managing multi-provider AI pipeline abstraction layers
Experience engaging executives on AI strategy and investment
Bring enterprise architecture, AI platform, governance, and executive engagement expertise to Accenture’s client deployments.

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