To lead this initiative, the company is seeking an experienced AI Systems Lead to define the internal AI operating model, architect enterprise-wide agentic systems, and guide the responsible adoption of AI across the business.
This is a senior leadership opportunity combining AI architecture, governance, engineering strategy, and operational transformation.
The Opportunity You will act as the senior architect for the organization’s AI transformation programme — defining both the technical foundations and operational standards that govern how AI is deployed internally.
You will lead the design of scalable multi-agent systems, establish practical AI governance frameworks, and drive adoption of AI tooling across business functions including Operations, Customer Support, Sales, Product, and Engineering.
What You’ll Own AI Governance & Operating Standards
- Define and maintain the company-wide AI policy and operational framework
- Translate regulatory requirements such as GDPR and the EU AI Act into practical internal standards and workflows
- Establish guardrails, governance models, and best practices for responsible AI usage
- Partner with leadership and operational stakeholders on AI risk, compliance, and adoption strategy
- Architect and steward the organization’s internal AI operating layer and multi-agent ecosystem
- Design scalable agentic architectures connecting knowledge systems, operational tools, and collaboration platforms
- Define reference architectures and engineering standards for AI teams across the business
- Guide system interoperability, orchestration patterns, memory models, and tooling standards
- Lead the rollout and operationalization of AI tooling across the company
- Identify opportunities where agentic workflows can create measurable operational value
- Train and enable teams on AI best practices, workflows, and adoption strategies
- Drive ongoing AI enablement initiatives and cross-functional collaboration
- 6 years of engineering, AI systems, or platform architecture experience
- Strong senior-level experience designing and deploying agentic AI systems
- Proven track record shipping AI workflows and automation systems to real users within fast iteration cycles
- Deep hands-on experience with the Claude ecosystem is essential, including:
- Agent SDKs
- Claude Code
- Tool use and orchestration
- MCP architectures
- Sub-agents
- Skills and collaborative workflows
- Strong understanding of AI governance, compliance, and operational risk management
- Experience translating frameworks such as GDPR or the EU AI Act into practical operational policies
- Strong stakeholder communication skills across technical and non-technical audiences
- Fluent English required
- Experience building enterprise-scale multi-agent systems
- Background in AI operations, internal platforms, or automation strategy
- Exposure to modern orchestration frameworks and AI infrastructure tooling
- Experience operating in regulated or compliance-sensitive environments
- German language skills strongly preferred
- Technically deep but operationally pragmatic
- Comfortable balancing innovation with governance and risk management
- Able to influence senior leadership while remaining hands-on technically
- Strong systems thinker with a product and adoption mindset
- Excited by building AI infrastructure that becomes foundational to how a company operates
- Opportunity to architect AI strategy and systems at enterprise scale
- Executive sponsorship and genuine organizational commitment to AI transformation
- High-autonomy leadership role with real budget and mandate
- Small, high-performing team operating at the forefront of applied AI
- Remote-friendly across DACH / EU
- Build foundational systems that shape the future operating model of the business
