AI Consultant

Quick Facts

• Client-facing AI consulting with project leadership
• 50% internal / 50% client delivery
• Focus on GenAI, LLM/RAG evaluation, automation and integrations
• Occasional business travel (1–3 days)

Description

You will lead end-to-end AI projects—from discovery and requirements to implementation—while working directly with clients as a key point of contact. The role includes facilitating AI workshops and presentations, translating business needs in Data & AI into the right solutions, coordinating delivery with technical teams, and supporting sales with business-technical documentation and ROI reasoning. You’ll also build prototypes/demos during the sales stage and apply good team practices with an awareness of regulatory requirements (AI Act, GDPR).

Responsibilities

• Lead internal and external AI projects (50%/50%)
• Run workshops and client presentations on AI capabilities and use cases
• Identify and analyze clients’ business needs in Data & AI
• Select solutions aligned with business expectations
• Collaborate on sales offer/bid preparation
• Manage AI projects as the primary client contact, with a delivery manager
• Coordinate communication between the client and the technical team and support delivery
• Support developers in understanding customer requirements
• Create and update business-technical documentation
• Introduce and promote best practices across the project team

Requirements

• Experience delivering AI projects end-to-end (from needs discovery and defining requirements to implementation)
• Ability to communicate complex technical topics clearly to clients and the team
• Experience running workshops and/or trainings (AI-focused experience is an advantage)
• Solid understanding of GenAI, including LLMs, RAG, context engineering, response-quality evaluation, and model costs/limitations
• Ability to independently build prototypes/demos during the sales stage (e.g., Lovable, v0, Claude)
• Product-oriented mindset with the ability to identify real business value and automation opportunities
• Experience with automation tools or API-based integrations (e.g., n8n, Make, Zapier, Power Automate)
• Basic regulatory knowledge to ask the right questions about AI Act and GDPR
• Machine Learning fundamentals: choosing models, evaluation metrics, and validation methods for specific problems
• Understanding of IT delivery/implementation: integrations, software development lifecycle, and testing
• Fluent English
• Willingness for occasional business trips (1–3 days)

Benefits

• Multisport card and private medical care
• Life insurance option
• Group English lessons with a tutor and access to the eTutor platform
• Company library with books and learning materials
• Participation in Wellbeing Week to support wellbeing and work-life balance