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.

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