Solutions Architect – Enterprise Logistics & AI

ADVOSYNC develops purpose-built AI solutions tailored specifically for modern law firms and corporate legal departments. Founded by practicing attorneys, our platform automates repetitive legal workflows and document analysis with enterprise-grade security, strict GDPR compliance, and zero AI-training on sensitive client data. Alongside our own platform, we design and deliver custom AI and software solutions for enterprise clients.

For a major project with a very large German corporation in the logistics sector, we are looking for a Solutions Architect who will own the solution design – from the business problem to a clear implementation plan.

The Mission

Enterprise logistics runs on complex processes and a dense landscape of ERP, WMS and TMS systems. Our client does not need more technology – they need the right solution. In this role, you will understand their business, design an architecture that truly fits, and make sure our development team builds exactly that.

Key Responsibilities

• Business Analysis: Analyze the client’s business problems and processes and translate them into functional and non-functional requirements.

• Solution Architecture: Design end-to-end architectures covering components, integrations, data flows, security, scalability and cost.

• Enterprise Integration: Design integrations with the client’s systems (e.g. ERP, WMS, TMS) in a complex corporate environment.

• Documentation & Communication: Produce architecture documentation and present recommendations to technical and business stakeholders.

• Client Workshops: Work directly with the German client – run workshops, define scope and align on architectural decisions.

• Delivery Oversight: Hand over the design to the ADVOSYNC development team and ensure the implementation stays true to the architecture.

• AI Opportunities: Use AI in your design work and identify where AI can genuinely solve the client’s problems.

Requirements & Profile

• Experience: 5+ years in IT, including at least 2 years as an architect, tech lead or senior engineer responsible for system design.

• Architecture Expertise: Microservices, event-driven architecture, integrations (REST, queues, messaging) and resilience patterns.

• Client-Driven Design: Proven track record of designing solutions based on client requirements and problems, from analysis to delivery.

• Cloud & Data: Good knowledge of cloud platforms (AWS, Azure or GCP) and of relational and NoSQL databases.

• Enterprise Environment: Experience with large organizations: security, compliance (GDPR), governance and multiple stakeholders.

• Documentation: Ability to document and present architecture clearly (C4, UML, ADR).

• Tech Stack Understanding: Familiarity with the web stack our team uses (Node.js, TypeScript, React, Next.js).

• Language: English at C1 level – you will run workshops and presentations for the client.

• Location: You live in Wrocław or the surrounding area and can work from our Wrocław office 1–2 days per week.

• Travel: Willingness to travel to the client in Germany.

Nice to Have

• German: B2 level or higher – a major advantage in direct client contact.

• Logistics Domain: Supply chain, warehousing, transport, WMS and TMS systems.

• German Corporate Experience: Experience working with German corporations and their business culture.

• AI Solutions: Experience designing AI-based solutions (LLM, RAG, process automation).

• Certifications: TOGAF, AWS Solutions Architect, Azure Solutions Architect Expert.

• Presales: Experience in presales or in estimating project costs and timelines.

What We Offer

• Direct Impact: Own the architecture of a large-scale project for a major international enterprise client.

• Attractive Package: 180–240 PLN/h net + VAT on a full-time B2B contract.

• Flexibility: Flexible working hours, 1–2 office days per week in Wrocław, remote the rest of the week.

• Start Date: immediately

Hiring Process

1. Intro Call (approx. 30 min): your experience, expectations, availability and location.

2. Take-Home Assignment (approx. 3–4 h, one week to submit): design a solution for a sample logistics problem – an architecture diagram, a short rationale for key decisions and a list of risks. No code.

3. Technical Interview (approx. 60 min): present and defend your solution.

4. Meeting with the CEO: ownership, client-facing work style, approach to AI and cultural fit.