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    AI Solutions Engineer (Germany)

    Original title · English translation pending

    Reindeer AiGermanyPosted 2026-09-22Last seen in source
    Location
    Germany
    Employment
    Full Time
    Workplace
    On-site
    Sales
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    Role description

    Original description · English translation pending

    We're building an agentic AI platform that helps enterprises transform complex business workflows into AI-powered operations. We work with leading global companies to identify high-value workflows, deploy AI agents into real business environments, and help organizations move from experimentation to measurable enterprise impact.

    We believe AI adoption inside the enterprise isn't just a technology challenge. It requires business context, workflow understanding, change management, trust, ownership, and a clear path to value. That's where this role comes in.

    We are a well-funded, early-stage startup, building our Solutions Engineering team to help build and own our enterprise customer motion from the ground up. This role is perfect for a hands-on, technically deep builder who thrives in fast-moving environments, enjoys making things work in the real world, and partners closely with founders, Product, and R&D to deploy and scale complex, AI-driven enterprise solutions.

    You will own the technical side of the post-sale customer journey, from deployment and integration through adoption, expansion, and ongoing success, while helping define how our delivery function evolves as we grow.

    Your Impact

    Customer Onboarding & Process Analysis

    • Engage with customers post-close to understand workflows, operational processes, and deployment requirements.
    • Translate findings into clear implementation plans for AI-powered solutions.

    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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