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 (Ottawa)
🏢 Accenture
📍 Ottawa