London-Based Agentic AI & Commerce Architect

London-Based Agentic AI & Commerce Architect

Full-Time 72000 - 88000 Β£ / year (est.) No working from home possible
Accenture

At a Glance

  • Tasks: Lead the design and delivery of innovative AI commerce systems for global clients.
  • Company: Join Accenture, a leader in technology and consulting.
  • Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
  • Other info: Collaborative environment with diverse teams and exciting projects.
  • Why this job: Shape the future of commerce with cutting-edge AI technologies.
  • Qualifications: Experience in system architecture and AI/ML platforms required.

The predicted salary is between 72000 - 88000 Β£ per year.

Accenture in London seeks an Agentic AI & Commerce Architect to lead end-to-end design and delivery of production-grade agentic commerce systems for global clients. You will define system architecture, select AI/ML platforms, and ensure scalable, secure solutions integrated into live commerce environments.

You will partner with development, DevOps, data engineering, and client teams to translate strategy into executable architectures, guiding multi-region programs and enterprise-scale.

London-Based Agentic AI & Commerce Architect employer: Accenture

Accenture is an exceptional employer, offering a dynamic work culture in London that fosters innovation and collaboration. With competitive benefits like 30 days of vacation, access to fitness classes, and private medical insurance, employees are supported in achieving a healthy work-life balance while also having ample opportunities for professional growth and development within the rapidly evolving field of AI.

Accenture

Contact Details:

Accenture Recruitment Team

We think you need these skills to ace London-Based Agentic AI & Commerce Architect

System Architecture
AI/ML Platform Selection
Scalable Solutions Design
Secure Solutions Implementation
Commerce Systems Integration
Collaboration with Development Teams
DevOps Practices