Stanley/Stella

E-Commerce

EnterprisePlatformArchitect&TechLead

€130–180k ~AI est. Brussels, Belgium FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Enterprise Platform Architect & Tech Lead at Stanley/Stella. Skills: Enterprise Platform Architecture, Tech Lead, AI Integration, Platform Integration. Integrate and scale AI technologies. Design RAG architectures”

What You'll Achieve.

Strengthen customer experience; Scale business platforms; Prevent fragmentation; Avoid long-term consequences; Translate emerging tech; Lead AI shift; Achieve scalable impact; Support future growth

Industry & Context.

E Commerce
Problems you'll solve

Simplify complexity; Support decision-making

What They're Looking For.

Must Have

10+ years architecture/technical leadership, B2B experience, Magento experience, Azure cloud infrastructure experience, Power BI experience

Nice to Have

Fluent in French, Fluent in Dutch

What You'll Do.

Integrate and scale AI technologies

Design RAG architectures

Deploy agentic workflows

Automate workflows across systems

Drive low-code/no-code adoption

Ensure API-first AI integration

Lead proof-of-concepts

Transform experiments into solutions

Track toolkit performance

Enable future AI use cases

Foster communities of practice

Promote tools and standards

Promote good practices

Engage with stakeholders

Define target architecture

Evolve target architecture

Ensure system integration

Govern shared services

Define integration patterns

Eliminate point-to-point connections

Support engineering teams

Challenge engineering teams

Identify technical debt

Address technical debt

Balance innovation speed

Balance long-term sustainability

Structure data foundations

Enforce security best practices

Enforce resilience best practices

Enforce performance best practices

Enforce observability best practices

Define architecture standards

Enforce architecture standards

Define design patterns

Enforce design patterns

Maintain architecture documentation

Establish guidelines for teams

Establish guidelines for vendors

Establish guidelines for partners

Ensure ecosystem consistency

Own architecture review processes

Own pattern libraries

Document technical decisions

Justify technical decisions

Trace technical decisions

Define onboarding standards

Enable fast integration

Enable reliable integration

How You'll Work.

Team & Collaboration

Communities of practice; Cross-functional teams; Engineering teams; Vendor collaboration

Communication Scope

Written communication; Promoting technologies; Promoting best practices

Full Job Description

Your purpose at Stanley/Stella Stanley/Stella is accelerating its digital transformation to strengthen customer experience and scale its business platforms across an international ecosystem of decorators, resellers, and partners. The Enterprise Platform Architect & Tech Lead acts as the company’s senior technical authority , reporting directly to the CIO. This role defines, governs, and continuously evolves the technology foundations of the enterprise ensuring coherence, scalability, resilience, and security across all platforms, integrations, and data capabilities. This is a cross-cutting technical mandate not a functional management role  with accountability for integrating, securing, and anticipating technologies across the organization. The role prevents fragmentation, avoids short-term decisions with long-term consequences, and translates emerging technologies into robust, production-ready foundations . A key and immediate priority is to lead the integration of AI technologies including RAG pipelines, agentic workflows, orchestration tools, low-code platforms, and API-based integrations  across the company’s core stack: Infor M3, HubSpot, Magento, Azure, and Power BI . Your role and impact 1. Integrate and scale AI technologies AI is a core priority of this role. You lead the shift from experimentation to real, scalable impact . Design and implement RAG (Retrieval-Augmented Generation) architectures leveraging company data for intelligent search and decision support Assess and deploy agentic workflows orchestrating processes across ERP, CRM, and e-commerce platforms Leverage N8N and similar orchestration tools to automate workflows across systems Drive adoption of low-code / no-code platforms within controlled and governed frameworks (e.g. Make, Bubble, Lovable) Ensure API-first AI integration : reusable, composable, auditable services Lead proof-of-concepts and transform successful experiments into enterprise-grade solutions Build and govern a central AI and a

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