Are you motivated by building technology solutions that change how businesses interact with their customers? Do you want to work across customer experience platforms, data architecture and modern AI, and make sure all of it connects and runs in production?
We are looking for a Data & AI Architect who will own the technical design and delivery of customer technology solutions for our clients. You will work across CMS, CDP, commerce, CRM and AI, and work hands-on with delivery teams to bring it all to production.
In this key role, you will:
* Design end-to-end solution architectures across customer technology landscapes, connecting content platforms, customer data, commerce systems and AI capabilities into scalable solutions
* Lead technical delivery of complex, multi-platform projects, ensuring quality, integration and production-readiness from concept through go-live
* Bring AI into customer technology by applying generative AI, agentic patterns and data-driven automation to CMS, CDP and commerce solutions
* Bridge technology and business outcomes by translating client needs into concrete technical approaches with clear trade-offs across platforms and vendors
Your Job
You are responsible for the technical vision and architecture of customer technology solutions across client engagements. You connect content management, customer data platforms, commerce, CRM and AI into working enterprise solutions and you stay close to delivery to make sure what gets built matches what was designed.
You work hands-on with delivery teams: reviewing designs, unblocking technical challenges, validating integration approaches and making sure non-functional requirements (performance, security, scalability) are covered. The team comes to you when architecture gets complex, whether that’s a multi-platform CMS migration, a CDP integration with downstream activation channels, a Salesforce Agentforce implementation, or an AI-powered service automation.
You work with client stakeholders (IT leads, product owners, enterprise architects) to align solutions with their technology landscape and business priorities. You evaluate and recommend platforms, design integration patterns across vendors, and present options with trade-offs: what's technically sound, what's practical to build and maintain, and what delivers the most value.
You bring AI and data capabilities into the customer technology domain. Think generative AI applied to content and personalisation, agentic patterns for customer service, and data-driven automation across commerce and CRM.
You also contribute to Accenture Song’s practice by capturing reusable architecture patterns and sharing learnings across teams. You work with Accenture’s technology partnerships (Adobe, Salesforce, SAP, Sprinklr, Microsoft, AWS, Google Cloud) to bring the right capabilities to each engagement.
Your Background
* 5–8 years of relevant experience in solution architecture, technical delivery or senior engineering roles within consulting, digital delivery or enterprise environments
* Proven experience designing and delivering customer technology solutions across multiple platforms, not just single-vendor implementations
* Strong architecture skills across customer technology domains, with depth in at least two of the following:
o Content Management: Adobe Experience Manager, Sitecore, CoreMedia, or composable/headless CMS (MACH architecture)
o Customer Data Platforms: Salesforce Data Cloud, Adobe Experience Platform, Tealium, Segment, or similar
o Commerce: SAP Commerce Cloud, Salesforce Commerce Cloud, Adobe Commerce (Magento), or composable commerce
o CRM & MarTech: Salesforce (Sales/Service/Marketing Cloud, Agentforce), Sprinklr, Adobe Campaign, or similar marketing automation and customer engagement platforms
o Data & AI: Azure OpenAI, Azure AI Search, Databricks, data pipelines, LLM orchestration, RAG architectures
* Integration expertise: experience designing cross-platform architectures connecting CMS, CDP, commerce, CRM and back-office systems (ERP, ticketing, fulfilment) through API management, event-driven patterns and middleware
* Interest and growing experience in AI applied to customer technology: generative AI for content and personalisation, agentic AI for service automation, data-driven decisioning
* Ability to lead technical delivery: not just design on paper, but guide teams through implementation, troubleshoot issues and make sure things work in production
* Strong communication skills: able to explain technical concepts to non-technical stakeholders and present architecture options with trade-offs
* Proactive, hands-on attitude: you don't wait for a perfect brief, you figure out the approach and iterate
* Master’s degree in Computer Science, Engineering, Business or equivalent experience
* Fluent in English, with professional proficiency in Dutch or French
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