1 day ago
Amsterdam, NetherlandsSenior
Responsibilities
- Analyse client needs, business objectives, operational challenges, and organisational context to identify practical opportunities for AI.
- Design and propose AI solutions with measurable outcomes, including RAG applications, AI agents, MCP ecosystems, enterprise knowledge retrieval, and workflow automation.
- Lead discovery workshops, AI strategy sessions, presentations, and executive discussions with technical and non-technical stakeholders.
- Advise clients on the medium- and long-term impact of AI adoption on operating models, processes, teams, and commercial performance.
- Support AI-related change management, skills transfer, stakeholder engagement, and organisational buy-in.
- Shape commercial proposals and technical storytelling with the Service Line Manager throughout the sales-to-delivery lifecycle.
- Collaborate with Solution Architects, Data Specialists, and Engineering teams to validate feasibility and design scalable AI architectures.
- Assess and improve AI solution reliability, quality, and performance using evaluation frameworks, testing methodologies, and governance practices.
- Develop AI offerings, accelerators, reusable assets, methodologies, and internal initiatives.
- Maintain delivery quality and build long-term trusted-advisor relationships with clients.
Requirements
- Strong consulting mindset and ability to understand business objectives, KPIs, operational challenges, and organisational dynamics.
- Experience identifying business opportunities for AI and translating them into practical, measurable solutions.
- Excellent communication and stakeholder-management skills, including the ability to explain technical concepts to executive audiences.
- Practical understanding of Claude Code, AI agents, MCP connectors, plugins, skills, orchestration layers, and agentic workflows.
- Hands-on experience designing and delivering RAG-based solutions, including retrieval strategies, grounding techniques, vector databases, enterprise search, and knowledge-management use cases.
- Experience with AI agents and multi-agent systems, including orchestration patterns, memory management, tool calling, and workflow automation.
- Experience assessing AI solution quality using tools such as Harness, LangSmith, Promptfoo, Humanloop, or equivalent evaluation platforms.
- Technical background sufficient to discuss enterprise architecture, integrations, APIs, security, data flows, and solution design at a senior level.
- Strong understanding of where AI creates value, where it fails, and how to balance business ambition with implementation reality.
- Native-level Dutch and fluent English.
Benefits
- Hybrid work policy with two days in the office.
- Competitive salary.
- Monday-to-Friday work schedule.
Tech Stack
Harness
Categories
Solutions Engineering
About SQLI
SQLI is a European digital services group that designs and builds e-commerce, CRM, and customer experience platforms for international brands. It provides consulting, design, systems integration, and managed services spanning digital strategy, data and analytics, and experience platforms. Founded in 1990 and headquartered in Levallois-Perret, France, SQLI operates in 12 countries.