Senior AI Implementation Consultant

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).