Every moment counts. Especially those you live to the fullest. Welcome to Consort Group.
For over 30 years, Consort Group has been helping companies leverage their data and infrastructure. It is backed by two leaders, Consortis and Consortia, and places people and social responsibility at the heart of its values.
This is your future team
Committed to the success of its clients, the Consort Belgium team embodies the values and shares the expertise of Consort Group in Brussels, the surrounding area, and throughout Belgium. With 45 employees, it has been offering a range of infrastructure and application solutions since 2016, delivered by local teams and supported, when necessary, by the group's skills and resources.
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.
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.
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.
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.
Business Analysis
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)
Dutch or French: Fluent (mandatory)
French or Dutch: Good working knowledge (mandatory)
English: Professional working proficiency (mandatory)
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
Attentive and human onboarding
A truly hands-on management style
Continuous training opportunities
Concrete commitments: inclusion, equality, solidarity
A comprehensive HR package: health insurance, meal vouchers, pension plan, and additional benefits
A culture of feedback and meaningful projects
An initial phone call with our recruitment team
An HR interview and a job interview with a business engineer
A technical interview with one of our experts
A final meeting with your future manager
