> Markdown version of [/jobs/ext/3241296-expert-solution-architect-ai-enterprise-all-genders](https://www.wearedevelopers.com/jobs/ext/3241296-expert-solution-architect-ai-enterprise-all-genders). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Expert Solution Architect, AI & Enterprise (all genders) - **Company:** Thorit GmbH - **Location:** Böblingen, Germany - **Experience:** Experienced - **Salary:** €74,080.0 - €113,137.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Confluence, JIRA, BigQuery, Cyber Security, Custom Software, Data Warehousing, Cursor, Middleware, Microsoft Dynamics, Salesforce.Com, SAP (Applications), Systems Integration, Large Language Models, Snowflake, Multi-Agent Systems, SAP S/4HANA, Data Management, Virtual Agents, Hubspot, Interactive Whiteboards - **Published:** September 17, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=dac68beb9c0d1009 ## About the Role * 8+ years in consulting or solution architecture, with at least 3 years personally owning solution design for corporate clients (1,000+ employees) on the advisory or vendor side, from discovery to signature * A track record of structuring ambiguous business problems into architecture options, scope, and risk, with artefacts you produced yourself and can walk us through * Architecture-level fluency across at least one enterprise CRM (HubSpot, Salesforce, or Dynamics), one ERP (SAP or Dynamics), data platforms (warehouse, CDP, or MDM), and integration patterns (event-driven, API, iPaaS or middleware) * At least one AI or agentic solution you designed or delivered that ran in production for a client, with business outcomes you can name and failures you can explain * Experience leading conversations with CIO, CFO, procurement, IT security, and business stakeholders inside corporate groups, including telling an executive no with a case behind it * Commercial judgment on scoping and estimating large engagements, and ownership when estimates miss * German and English at full business fluency, with the ability to present the same architecture to a CFO and to a delivery team, * Direct experience with EU AI Act and DSGVO as design constraints in regulated industries (manufacturing, financial services, healthcare) * A background in one of our core client sectors: industrial manufacturing, building products, or B2B distribution * Public visibility: talks, articles, or teaching on enterprise architecture or applied AI ## Description You'll own the path from a corporate client's business problem to a target architecture the CIO signs and the CFO funds. Not one platform, the whole picture: CRM, data, integrations, custom software, and the agentic AI layer on top. You'll lead discovery with 1,000+ employee groups, structure what they actually need, design the solution, defend it in the steering committee, and hand delivery a scope that holds. This is a Principal seat: craft leadership at the top of our Consulting Practice, no people management. What You'll Do * Lead discovery and solution design on our largest enterprise engagements, turning ambiguous business problems into signed target architectures across CRM, data, custom software, and agentic AI * Own the architecture through delivery, so what you design in pre-sales is what gets built, without structural redesigns after signature * Scope six- and seven-figure engagements with estimates that hold, phasing that corporate procurement can sign, and risks named up front * Define Thorit's Enterprise Solution Design Method: discovery framework, architecture decision template, and an honest agentic-fit assessment that says where agents add value and where they don't * Present and defend architectures in front of CIOs, CFOs, and business unit heads, in German and English * Build a library of reusable solution patterns (master data ownership between CRM and ERP, agent orchestration on HubSpot, data remediation before AI) that consultants and engineers actually use * Partner with our AI & Engineering Practice as the architecture counterpart: you own the solution design, they own the technical blueprint and the build, * Hands-on HubSpot enterprise experience or HubSpot Solutions Architect certification (we fund it if you don't have it), * Core: HubSpot (CRM, Marketing, Sales, Service, Operations Hub), Jira, Confluence, Forecast, Claude AI * Architecture & design: architecture decision records, C4 and sequence diagrams, Miro * Enterprise landscape you design against: SAP S/4HANA, Microsoft Dynamics 365, Salesforce, data warehouses (Snowflake, BigQuery), CDP and MDM concepts, iPaaS and custom middleware * AI & agents: LLM-based agents on Claude and other models, retrieval, orchestration frameworks, evaluation and guardrails; the engineering team builds with Claude Code and Cursor