Senior Solution Architect Europe
Job in
1000, Amsterdam, North Holland, Netherlands
Listed on 2026-10-08
Listing for:
WAIR
Full Time
position Listed on 2026-10-08
Job specializations:
-
IT/Tech
Job Description & How to Apply Below
Location:
Remote CET or In-Office – Netherlands (Amsterdam or Rosmalen)
Type:
Full-Time About WAIRThe 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 , 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 & Seniority7–10 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.
Position Requirements
10+ Years
work experience
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