Senior Enterprise AI Architecture Leader

Accenture PLC; Houston (TX); On-site; USD 150,000 - 300,000; Full time

Job summary

Accenture is seeking an Enterprise AI Architect to own the technical shape of the offering and lead AI-native transformation engagements. You will defend the end-to-end delivery methodology, set the technical point of view, and own the asset portfolio for landmark client work.

You will align with sales leadership on commercial aspects, craft a crisp narrative, and guide multi-model orchestration across large-scale data and AI initiatives with travel as needed.

Qualifications

• Minimum of 8 years in enterprise technology delivery, with meaningful time in at least two of: large-scale data engineering, AI/ML platforms, enterprise architecture, software engineering leadership.
• Minimum of 2 years designing and delivering AI-native architectures at enterprise scale — production, not pilot.
• Minimum of 5 years owning a productized offering, platform, or methodology.
• Bachelor's degree or equivalent work experience (minimum 12 years).

Responsibilities

• Own the end-to-end AI-native delivery methodology and defend, evolve, and sign off on it.
• Own the technical point of view, setting the bar for credible, non-generic AI transformation work.
• Own the asset portfolio including reference architectures and orchestration blueprints.
• Travel may be required; travel amount ranges from 0 to 100% depending on business needs.

Skills

AI Architecture

AI Guardrail Design

Multi-Model Orchestration

Agent Framework Design

Commercial storytelling

Education

Bachelor's degree or equivalent

Job description

Accenture is seeking an Enterprise AI Architect to own the technical shape of the offering and lead AI-native transformation engagements. You will defend the end-to-end delivery methodology, set the technical point of view, and own the asset portfolio for landmark client work.

You will align with sales leadership on commercial aspects, craft a crisp narrative, and guide multi-model orchestration across large-scale data and AI initiatives with travel as needed.