Senior Enterprise AI Architecture Leader

Accenture PLC; Austin (TX); On-site; USD 133,000 - 338,000; Full time

Benefits offered by this job

Bonuses opportunities

Medical/dental/vision benefits

Travel opportunities

Job summary

Accenture is seeking an Enterprise AI Architect to own the offering's methodology, technical point of view, and asset portfolio. You will lead credible AI-native transformation work and work alongside sales leadership as a technical authority on engagements.

Role requires 8+ years in enterprise tech delivery, 2+ years in production AI-native architectures, and 5+ years owning a productized offering. Travel may be required to meet client needs.

Qualifications

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

Responsibilities

• Own the end-to-end methodology for AI-native architecture work and defend, evolve, and sign off on it.
• Own the technical point of view: set the bar for credible AI-native transformation work.
• Own the asset portfolio: reference architectures, agent framework patterns, orchestration blueprints and evaluation harnesses.
• Travel may be required; travel level ranges based on business need and client requirements.

Skills

AI Architecture

AI Guardrail Design

Multi-Model Orchestration

Agent Framework Design

Enterprise delivery

Client executive presence

Education

Bachelor's degree or equivalent experience

Job description

Accenture is seeking an Enterprise AI Architect to own the offering's methodology, technical point of view, and asset portfolio. You will lead credible AI-native transformation work and work alongside sales leadership as a technical authority on engagements.

Role requires 8+ years in enterprise tech delivery, 2+ years in production AI-native architectures, and 5+ years owning a productized offering. Travel may be required to meet client needs.