AI Solutions Engineer (Germany)

Data, AI Models & Workflow Development

• Partner with customers to assess data readiness and gather inputs for AI workflows.
• Configure and integrate AI components into tailored, AI-driven workflows.
• Collaborate with R&D to close data gaps and extend product capabilities when needed.

Deployment & Proof of Value

• Own end-to-end solution deployment and ensure models meet performance and business value expectations.
• Define success metrics and drive adoption post-launch.

Integration, Security & Rollout

• Lead integrations with enterprise systems (e.g., Finance, ERP, email platforms), ensuring scalability and security.
• Guide customers through security, compliance, and IT approval processes.
• Plan and execute rollout to drive smooth implementation and adoption.

What It Takes

• 7+ years of experience in Implementation Engineering, Solutions Engineering, Technical Consulting, Professional Services or a similar post-sale customer-facing role.
• Strong analytical skills with the ability to translate business needs into technical solutions.
• Strong understanding of AI concepts and their enterprise applications.
• High adoption of modern AI tools and workflows.
• Experience supporting deployments across cloud environments and enterprise system integrations.
• Excellent communication and stakeholder management skills.
• Demonstrated ability to manage solution delivery across the full post-sale customer lifecycle.

Nice to Have

• Experience with process mining, workflow mapping, or operational analytics
• Familiarity with enterprise platforms
• Financial services industry experience

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Source: Statistisches Bundesamt (Destatis), table; dl-de/by-2-0; StarIn's calculation

Posted Oct 31, 2026

"relocation support"

Posted Oct 31, 2026

"relocation support"