Lead Agentic AI & Enterprise Commerce Architect

Accenture Infrastructure and Capital Projects, LLC

Greater London

On-site

GBP 120,000 - 180,000

Full time

14 days+
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Benefits offered by this job

Leave days (30)
Flexible work policies
Pension plan
Healthcare insurance
EAP & wellbeing
Career development
Parental leave

Job summary

Accenture Song invites 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 architecture, select AI/ML platforms, and ensure scalable, secure implementations embedded in live commerce environments.

You will partner with development, DevOps, data engineering, and client teams to translate strategy into executable architecture, driving large-scale, multi-region programs.

Qualifications

  • 8+ years in AI/ML with production systems
  • 4+ years enterprise commerce delivery on major stacks
  • Proven experience designing LLM-based systems (RAG, tool-calling)
  • Experience with vector retrieval and embedding pipelines
  • Experience with AI governance frameworks and HITL
  • AgentOps/LLMOps: observability, tracing, evaluation
  • Commerce stack integration: OMS, PIM, DAM, CRM, payments

Responsibilities

  • Design multi-agent architecture blueprints and governance frameworks
  • Lead architecture for large-scale agentic commerce implementations
  • Guide path from prototype to production with CI/CD scaling
  • Lead workshops with client stakeholders and define roadmaps
  • Develop KPIs for agent performance and ROI
  • Shape Accenture Song’s architecture standards and accelerators
  • Engage stakeholders and grow engineering talent in the practice

Skills

AI/ML systems
Generative AI
LLMOps
Architecture leadership
Cloud delivery
Python
Multi-region delivery

Tools

Salesforce Commerce Cloud
Adobe Commerce
SAP Commerce
MACH stacks

Job description

Accenture Song invites 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 architecture, select AI/ML platforms, and ensure scalable, secure implementations embedded in live commerce environments.

You will partner with development, DevOps, data engineering, and client teams to translate strategy into executable architecture, driving large-scale, multi-region programs.

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