AI Solutions Analyst (M/F)
Role details
Job location
Tech stack
Job description
Are you passionate about Generative AI, Large Language Models (LLMs), and AI-driven business solutions? Then this position is for you.
As an AI Solutions Analyst you will lead the delivery of GenAI-powered initiatives, combining business analysis, prompt engineering, and AI solution design to build enterprise-grade conversational AI solutions. You will collaborate with business stakeholders and the AI Center of Expertise to drive projects from discovery through deployment and continuous improvement.
Build side:
- Gather, analyze, and translate business requirements into AI solution designs and functional specifications.
- Design, develop, and optimize GenAI-powered solutions, including enterprise chatbot applications.
- Create and refine prompts, Retrieval-Augmented Generation (RAG) pipelines, and LLM evaluation frameworks.
- Define user stories, acceptance criteria, and maintain product backlogs in Agile environments.
- Collaborate with AI, Data, Security, and Architecture teams to deliver scalable and secure AI solutions.
- Design LLM testing strategies, including golden datasets, regression testing, safety testing, and evaluation metrics.
Run side:
- Coordinate user acceptance testing and validate AI solution performance.
- Monitor AI solution quality through prompt/response analysis, latency, cost, and quality indicators.
- Maintain documentation, playbooks, runbooks, and training materials to facilitate knowledge transfer.
- Continuously improve prompts, workflows, and AI models based on user feedback and performance analysis.
- Report project progress, risks, and recommendations to business stakeholders.
- Promote AI best practices and contribute to the organization's AI adoption strategy., * AI Solution Design
- Generative AI (GenAI)
- Large Language Models (LLMs)
- Prompt Engineering
- Retrieval-Augmented Generation (RAG)
- Conversational AI & Chatbots
- Functional Analysis
- Agile Delivery
- User Stories & Acceptance Criteria
- LLM Testing Strategies
- Evaluation Frameworks
- Python
- SQL
- Microsoft 365
- Microsoft Copilot for Microsoft 365
- Power BI
- Azure Databricks
- Azure Data Lake
- Documentation & Knowledge Transfer
- Data Science (preferred)
- Insurance or Financial Services (preferred)
Requirements
You have at least 5 years of experience in Business Analysis, Solution Engineering, or Digital Product Delivery, including at least 2 years working with Generative AI and Large Language Model (LLM) solutions.
You enjoy bridging the gap between business and technology while delivering innovative AI-powered solutions in Agile environments., * Dutch or French: Fluent (mandatory)
- French or Dutch: Good working knowledge (mandatory)
- English: Professional working proficiency (mandatory)
This is how you work as part of a team:
- Structured, organized, and conscientious
- Hands-on and autonomous
- Strong analytical and critical thinking skills
- Excellent communication with both technical and non-technical audiences
- Ability to explain AI capabilities, limitations, and associated risks
- Team player with a collaborative mindset
- Problem-solving oriented
- Comfortable working under tight deadlines
- Curious with a continuous learning mindset
- Value-driven and business-oriented