As part of this strategic initiative, the company is seeking an AI Solutions Engineer to help design, build, and operationalize internal AI systems and agentic tooling across multiple business functions.
This is a highly cross-functional role combining AI engineering, automation architecture, internal platform development, and stakeholder partnership.
The Opportunity You will help shape the company’s internal AI capability from the ground up designing how knowledge flows across the organization, building internally hosted AI tooling, and enabling teams to deploy practical AI agents that create measurable operational impact.
This role is ideal for someone who combines strong technical execution with product thinking, communication skills, and the ability to operate independently in fast-moving environments.
What You’ll Own AI Knowledge & Information Architecture
- Design the operating model for internal knowledge management and AI-ready information systems
- Define standards and governance for how information is structured, maintained, and surfaced
- Partner with stakeholders across departments to improve data accessibility and usability for both people and AI agents
- Build scalable foundations for enterprise-wide AI adoption
- Architect and develop internally hosted AI tools and workflows
- Reduce reliance on fragmented third-party SaaS solutions by building tailored in-house capabilities
- Create intelligent systems aligned to real operational workflows and business processes
- Develop scalable AI infrastructure supporting long-term automation initiatives
- Partner with functions including People, Sales, Customer Success, Finance, Legal, and Operations
- Scope, design, and deploy practical AI agents and automation workflows
- Enable teams to extend and maintain their own tooling over time
- Drive adoption through training, collaboration, and clear communication
- Approximately 5 years of experience in AI engineering, data engineering, ML infrastructure, integrations, or automation-focused software engineering
- Strong hands-on experience building and shipping AI-powered internal tools and workflows
- Proven experience delivering agentic systems or AI automations in fast iterative cycles
- Strong Python and SQL skills
- Experience integrating modern SaaS platforms using OAuth-based architectures and APIs
- Ability to write clear technical and solution specifications
- Strong communication skills with both technical and non-technical stakeholders
- Fluent English required
- Claude platform ecosystem
- Agent SDKs and AI orchestration frameworks
- Tool use and agent workflows
- MCP architectures
- Sub-agents and collaborative AI workflows
- Building internal AI systems with real operational users
- Self-starter who identifies opportunities independently and drives execution
- Comfortable operating across product, engineering, and business teams
- Strong stakeholder management and relationship-building skills
- Able to challenge assumptions and recommend practical solutions rather than automating unnecessarily
- Experience working in high-growth or transformation environments preferred
- German language skills are a plus
- Opportunity to shape AI strategy and tooling at enterprise scale
- Significant autonomy, ownership, and visibility
- Leadership team fully committed to meaningful AI adoption and measurable ROI
- Small, high-impact team with real budget and executive support
- Remote-friendly environment across DACH and the wider EU
- Build AI systems that directly influence how the business operates day-to-day
