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 iterationPrototype and deploy AI workflows, agents, copilots, and automationsArchitect identity, data, security, governance,



and workflow integrationsShape AI strategy, ROI backlogs, and adoption roadmapsLead architecture sessions, executive workshops, and code-with sessionsRequirements:

Bachelor’s degree or related college diplomaSeven years engineering experience with cloud-native systemsFive years software engineering using Java, TypeScript, JavaScript, or PythonOne year designing and deploying production agentic solutionsSeven years leading and developing software engineering teamsApply production engineering, agentic development, and enterprise architecture to Accenture’s forward deployed AI engineering practice.

📌 Forward Deployed Ai Engineering Manager (Winnipeg)
🏢 Accenture
📍 Winnipeg