Chief Enterprise AI Architect & Offering Lead

Accenture PLC

Carmel (IN)

On-site

USD 123,000 - 338,000

Full time

2 days ago
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Job summary

Accenture is seeking an Enterprise AI Architect to lead the AI-native transformation practice in the US. You will own the end-to-end delivery methodology, define the technical point of view, and manage the asset portfolio, including reference architectures and agent framework patterns.

Travel up to 100% may be required depending on client engagements. The role requires deep enterprise technology delivery experience, with a focus on AI/ML platforms, data engineering, and enterprise architecture,

Qualifications

  • 8+ years in enterprise technology delivery across data engineering, AI/ML platforms, enterprise architecture, or software leadership
  • 2+ years designing and delivering AI-native architectures at enterprise scale with at least one transformation led
  • 5+ years owning a productized offering, platform, or methodology
  • Bachelor's degree or equivalent work experience (min 12 years); 6 years if Associate's degree

Responsibilities

  • Own the end-to-end delivery methodology for AI-native architecture work, including the boundary with deterministic components
  • Set the technical point of view through conference talks, client councils, and frontier-partner relationships
  • Own the asset portfolio: reference architectures, agent frameworks, orchestration blueprints, evaluation harnesses

Skills

AI Architecture
AI Guardrail Design
Multi-Model Orchestration
Agent Framework Design

Education

Bachelor's degree

Job description

Accenture is seeking an Enterprise AI Architect to lead the AI-native transformation practice in the US. You will own the end-to-end delivery methodology, define the technical point of view, and manage the asset portfolio, including reference architectures and agent framework patterns.

Travel up to 100% may be required depending on client engagements. The role requires deep enterprise technology delivery experience, with a focus on AI/ML platforms, data engineering, and enterprise architecture,

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