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Forward Deployed Enterprise AI Engineer
Job Description & How to Apply Below
Deploy enterprise AI platforms as an embedded production engineer, using cloud-native systems and agentic solutions across complex client environments. Own measurable outcomes from architecture through adoption.
Accenture seeks a Forward Deployed AI Engineer with at least seven years of engineering experience. You will work directly with client teams on AI platforms, multi-provider pipelines, and enterprise architecture. The work includes identity, data, security, governance, and multi-system integrations. You will also guide senior stakeholders on AI strategy and investment decisions.
Key Responsibilities:- Lead enterprise AI platform deployments across multi-stakeholder environments
- Own time-to-value, reliability, adoption velocity, and scalability outcomes
- Drive ambiguous problems toward production systems rapidly
- Architect solutions spanning security, governance, data, and workflows
- Lead executive workshops and architecture design sessions
- Bachelor’s degree or related college diploma
- Seven years engineering cloud-native systems experience
- One year deploying agentic solutions in production
- Seven years working with AI platforms and abstraction layers
- Seven years leading software engineering teams
Bring production engineering, enterprise AI architecture, and client-embedded delivery experience to Accenture’s Forward Deployed AI Engineer position.
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