Lead production AI deployments as an Associate Manager, combining cloud-native engineering with enterprise architecture and client-embedded delivery. Travel may range from 25% to 75%.
At Accenture, this production engineering role owns enterprise outcomes including adoption, reliability, scalability, and time-to-value. You will lead AI platform deployments across complex stakeholder environments, translating business needs into production systems. The work spans agentic solutions, APIs, distributed systems, and enterprise integrations with platforms such as OpenAI, Anthropic, SAP, Salesforce, and Microsoft.
Key Responsibilities: Lead enterprise AI deployments from architecture through adoption and iteration
Prototype and deploy AI workflows, agents, copilots, and automations
Architect identity, data, security, governance, and workflow integrations




Shape AI strategy, ROI backlogs, and adoption roadmaps
Lead architecture sessions, executive workshops, and code-with sessions
Requirements: Bachelor’s degree or related college diploma
Seven years engineering experience with cloud-native systems
Five years software engineering using Java, TypeScript, JavaScript, or Python
One year designing and deploying production agentic solutions
Seven years leading and developing software engineering teams
Apply production engineering, agentic development, and enterprise architecture to Accenture’s forward deployed AI engineering practice.

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📌 Forward Deployed AI Engineering Manager (Quebec City)
🏢 Accenture
📍 Quebec City