Shape the architecture for a next-generation agentic commerce platform that helps a major retailer stay visible, relevant, and purchasable in AI-driven discovery channels.
Start
2026-09-07
Duration
4 months +
Location
Helsinki, Hybrid, remote
Allocation
50%
In this role, you will:
Lead the technical design for a centralized product data enrichment solution that makes complex retail catalog data usable and compelling for AI agents and chat-based purchasing experiences.
Define the target architecture, delivery phases, and implementation roadmap across discovery, build, and deployment for a large-scale custom platform.
Produce cost estimates, technical recommendations, and maintenance considerations aligned with an Azure- and Snowflake-based environment with AI/ML capabilities.
Assess risks, dependencies, and feasibility across multiple business units, e.g. hardware, and automotive, with support for both B2C and B2B purchasing scenarios.
Advise on visibility optimization, local relevance, and long-term maintainability so the solution can evolve with emerging agentic commerce platforms.
You will thrive if:
You have experience architecting AI-driven product discovery, commerce, or enrichment solutions in large and complex retail environments.
You understand how strong product data foundations, enrichment pipelines, and AI integrations influence discoverability and conversion across new digital channels.
You can translate ambiguous strategic goals into practical architecture, phased scope, and realistic cost models for enterprise-scale programs.
You are comfortable working hands-on with modern cloud and data platforms, especially Azure, Snowflake, and adjacent AI/ML tooling.
You bring a strong grasp of both consumer and business purchasing workflows and can design with multiple channels, categories, and stakeholder needs in mind.
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