Enterprise AI Architect and Transformation Leader

Accenture PLC; Beaverton (OR); On-site; USD 120,000 - 338,000; Full time

Benefits offered by this job

Medical benefits

Dental benefits

Vision benefits

Life insurance

Long-term disability

401(k) plan

Bonus opportunities

Paid holidays

Paid time off

Job summary

Accenture is seeking an Enterprise AI Architect to own the offering's methodology, the technical point of view, and the asset portfolio at enterprise scale. You will lead AI-native architecture work, defend the end-to-end delivery approach, and set the bar for credible AI transformations.

Travel to client sites may be required as projects vary across locations. You will collaborate with sales and technical teams, shaping client engagements and governance while driving reusable assets for future

Qualifications

• A clear, defensible point of view on the current AI frontier—what's real, what's hype, what matters in 18 months.
• Working command of the family's skill set: AI Architecture, AI Guardrail Design, Multi-Model Orchestration, Agent Framework Design.
• Demonstrated ability to translate a hands-on architecture argument into a crisp commercial narrative and back again.
• Demonstrated ability to walk into a client executive's office and earn the room on technical depth alone.

Responsibilities

• Own the end-to-end delivery methodology for AI-native architecture work.
• Defend, evolve, and sign off on the methodology boundary between AI controls and deterministic parts (AI Guardrail Design).
• Own the technical point of view and set credible, non-generic AI transformation standards.
• Own the asset portfolio including reference architectures and orchestration blueprints.
• Travel may be required; the amount of travel will vary by business need and client requirements.

Skills

AI Architecture

AI Guardrail Design

Multi-Model Orchestration

Agent Framework Design

Education

Bachelor's degree or equivalent

Job description

Accenture is seeking an Enterprise AI Architect to own the offering's methodology, the technical point of view, and the asset portfolio at enterprise scale. You will lead AI-native architecture work, defend the end-to-end delivery approach, and set the bar for credible AI transformations.

Travel to client sites may be required as projects vary across locations. You will collaborate with sales and technical teams, shaping client engagements and governance while driving reusable assets for future