Senior Solution Architect Central Europe
Location: Remote CET or In-Office – Netherlands (Amsterdam or Rosmalen)
Type: Full-Time
About WAIR
The fashion and retail market is undergoing a structural transformation.
Static rules, manual planning, and isolated systems are reaching their limits.
Going forward AI-based systems will decide how goods are allocated, adjusted, and intelligently moved between locations.
WAIR.AI is driving exactly this transformation. Our AI-driven platform transforms reactive inventory management into proactive, profit-maximizing decisions. At the heart of this are our retail AI agents that autonomously optimizes demand forecasting, inventory planning, and financial outcomes.
We are building a world where foresight is the norm — not the exception — and every inventory decision moves your business toward smarter growth, lower waste, and unmatched agility.
We’re hiring a Senior Solution Architect — a team member who will be instrumental in delivering on WAIR’s bold promise: turning complexity into clarity, and clarity into growth.
As a Senior Solution Architect at WAIR.AI, you are not just an executor—you are an architectural co-designer of this transformation. You create the business, technical, and data-driven foundation on which our AI can operate effectively under real world conditions.
Key Responsibilities
Business & Technical Customer Responsibility
- Lead complex pre-sales, discovery, and architecture workshops with enterprise clients.
- Analyze business processes, data landscapes, and existing IT systems, especially in fashion and retail.
- Serve as a trusted advisor to business units, IT leads, and senior decision-makers.
- Clarify what is commercially viable, technically feasible, and scalable over the long term.
- Translate business requirements around allocation, replenishment, and stock transfers into practical solutions.
- Define target architectures for Wallie, including data flows, integrations, and APIs.
- Assess existing ERP, merchandise management, and planning systems, identifying risks in legacy structures.
- Review and refine architecture and integration concepts from clients or implementation partners.
Data & Integrations
- Take ownership of the data quality underpinning our AI models.
- Validate historical and operational data (e.g., SKUs, locations, inventory, sales).
- Conduct gap analyses, identify inconsistencies, and lead structured data-quality discussions with clients.
- Work hands-on with APIs, data formats, and integration architectures—not coding, but with strong technical understanding.
Implementation & Internal Collaboration
- Support client projects from initial discussions through go-live.
- Collaborate closely with Sales, Product, Engineering, and Delivery teams to ensure smooth handovers.
- Document architecture decisions, integration concepts, and technical setups.
- Enable knowledge transfer and provide post-implementation support.
What Makes You the Right Fit
You’ve walked the fashion/lifestyle retail floor — in Allocation, Merchandising, or Planning — and know firsthand the friction, the guesswork, the lag. But you’re done with legacy. You believe AI isn’t just the future — it’s the fix. You’re ready to coach our prospects and customers toward faster, sharper, and more sustainable inventory decisions.
Experience & Seniority
- 7–10 years in Solution Architecture, Senior Consulting, Solution Engineering, or a similar role.
- Experience with complex B2B SaaS and enterprise systems.
- Confident engagement with clients, internal stakeholders, and external partners at a senior level.
Business Expertise
- Strong understanding of fashion and/or retail processes.
- Experience in allocation, replenishment, merchandise planning, or inventory management is a plus.
- Ability to critically evaluate requirements and translate them into structured solutions.
Technical & Data Knowledge
- Experience with ERP, merchandise management, OMS, or planning systems.
- Knowledge of integration architectures, APIs (e.g., REST), and data models.
- Strong understanding of data quality, validation, and system dependencies.
- Awareness of what is technically robust, scalable, and maintainable—without needing to code.
Communication & Language Skills
- Clear, concise communication with senior stakeholders.
- Takes responsibility, makes informed decisions, and stands by them.