Senior AI Implementation Consultant

Darum lohnt es sich

Responsibilities • 75% client-facing — you are the autonomous point of contact for your clients, usually at executive level. • You prepare workshops, lead them, document outcomes, run weekly client calls, present progress in demos and identify new AI use cases together with clients. • 15% hands‑on building — once a use case is clear, you build prototypes yourself: Claude Skills, n8n workflows, prompts, small demos. • You don’t need to write production‑grade code, but you understand JSON, can read logs and can put together something presentable with modern AI tools in a day. • 10% scoping & follow‑up projects — you spot additional automation potential for your clients, estimate effort realistically and scope follow‑up work cleanly. • Good delivery often generates the next projects by itself. • Manage multiple client projects in parallel: schedule meetings, clarify scopes, track status. • Prepare, facilitate and document workshops: from discovery to deep use‑case drilling. • Independently run weekly client calls, including demos and collecting feedback. • Capture requirements clearly and translate them for the engineering team. • Build Claude Skills, n8n workflows and prototypes yourself. • Identify new automation opportunities and translate them into business cases. • In the first 4–6 weeks you accompany ongoing client projects, gradually take over individual workshops and calls, and learn the platform and methodology. • After 6–8 weeks you will manage your first 2–3 projects independently. • After three months you will own a substantial part of our implementation pipeline.

Requirements • 3–7 years of professional experience, including at least 2 years in tech‑focused consulting, an innovation/digital unit, or as a Solutions Consultant at a B2B SaaS provider • You combine business understanding with technical curiosity and are comfortable in both worlds. • Degree is secondary. • You have independently led multiple concurrent client projects, including workshops at executive level. • Strong, structured communication — clear with executives as well as with developers. • Reliable, professional working style, both internally and with clients. • You think entrepreneurially: you judge whether a use case is worth pursuing and say so. • Hands‑on AI affinity and strong ability to learn: you build prompts yourself, have configured n8n or a Claude Skill before and know what an API is. • Highly desirable: you intensively use AI tools in your own work (Claude, Cursor, Lovable, n8n). • Experience identifying follow‑up needs from ongoing projects and scoping them properly. • Experience with SMEs or scaleups rather than only large corporations. • You are comfortable presenting live demos to clients. • Nice to have: experience with agent frameworks, LLM APIs, RAG, MCP or low‑code tools. • Personal side‑builds with Lovable, Bolt, Claude Skills or n8n (repo/live link is valuable). • First leadership experience (associates, interns).