Enterprise AI deployment expertise defines this Forward Deployed AI Engineer role at Accenture. Work embedded with client teams to deliver reliable, scalable production systems.
This production engineering role owns outcomes across complex enterprise environments, rather than consulting, project delivery, or research. You will lead platform deployments, rapid experimentation, architecture, adoption, and reliability. The work spans cloud-native systems, agentic solutions, AI platforms, and multi-system workflows. You will also shape enterprise AI strategy with senior stakeholders.
Key Responsibilities: Lead enterprise AI platform deployments across multi-stakeholder client environments
Own time-to-value, reliability, adoption velocity, and scalability outcomes
Drive ambiguous business problems toward production systems rapidly
Architect identity, data, security, governance, and workflow integrations
Shape AI roadmaps, ROI backlogs, and use case priorities
Requirements: Bachelor’s degree or related college diploma
Seven years engineering experience with cloud-native systems
One year designing production agentic solutions
Seven years working with AI platforms and abstraction layers
Experience leading engineering teams and client-embedded delivery
Apply enterprise engineering, agentic systems, and AI platform expertise to measurable client outcomes at Accenture.