GenAI Functional Analyst

Il y a 23 heures

Brussels, Belgique ITS Group Temps plein

Vos missions

Great assignments await you with our key account clients in rich and varied environments

We are looking for a GenAI Functional Analyst with strong technical skills to join a multidisciplinary Automation Squad, acting as the bridge between business and technical profiles on Generative AI topics.

The ideal candidate combines functional analysis expertise with solid GenAI knowledge, and has experience implementing GenAI changes within a corporate environment. The role requires strong stakeholder management, technical understanding and a critical mindset to translate business needs into effective, cost-efficient AI solutions, following an Agile, iterative and MVP-driven approach focused on rapid time-to-market and immediate value creation.

Your

missions:

Lead the functional analysis of GenAI initiatives, from business requirements to solution specifications.
Ensure alignment between business stakeholders and technical/AI teams.
Translate business requirements and processes into clear and actionable specifications.
Contribute to the definition of end-to-end solutions that meet customer needs while remaining cost-efficient.
Challenge requirements, specifications and proposed solutions with a critical, outcome
- and value-oriented mindset
.
Work closely with experienced AI engineers and analysts, challenging technical approaches when necessary.
Support GenAI implementations through an iterative, adaptable and MVP-based approach.
Foster collaboration and strong relationships across multidisciplinary teams.
Ensure rapid time-to-market and immediate business value creation.


Your activities:

Gather, analyze, clarify and challenge business requirements and processes related to GenAI.
Translate functional needs into specifications for technical teams.
Explain complex GenAI concepts to non-technical stakeholders.
Contribute to GenAI implementations using technologies and applications such as Azure AI and AWS.
Apply knowledge of Generative AI principles and Large Language Models (LLMs).
Perform Prompt Engineering.
Define and manage AI guardrails.
Work with or contribute to solutions involving AWS AgentCore.
Contribute to Agentic AI initiatives within Microsoft and Microsoft Copilot Studio.
Use Python for AI-related scripting, working with AI models and data manipulation.
Apply data analytics concepts and tools to GenAI use cases.
Analyze and evaluate GenAI results and outputs.
Identify and apply appropriate GenAI measurements and KPIs.
Create visual representations of GenAI results to support analysis and decision-making.
Collaborate with Marketeers, Analysts, Process Engineers, AI Engineers and other business and technical profiles.
Assess solutions against customer needs, business value, technical feasibility and cost efficiency.

You have the following

skills:

Must-Haves

Proven experience as a Functional/Business Analyst implementing GenAI changes within a corporate organizationMinimum 3 years of AI functional knowledgeStrong knowledge of Generative AI principlesGood understanding of how Large Language Models (LLMs) workProven experience with Generative AI technologies and applications, including Azure AI and AWSMinimum 3 years of AWS experienceMinimum 3 years of Python scripting experience, particularly for AI models and data manipulationStrong Prompt Engineering skillsAI guardrail management skillsStrong requirements and business process analysisAbility to translate requirements and processes into clear specificationsStrong communication skills, particularly when explaining technical GenAI concepts to non-technical stakeholdersMature stakeholder management, with a strong focus on outcomes and valueAbility to challenge experienced AI engineers and analysts with a critical mindsetStrong ability to foster collaboration and build relationships across diverse teamsFamiliarity with data analytics concepts and toolsAbility to analyze and evaluate GenAI resultsKnowledge of relevant GenAI measurements and KPIsAbility to create visual representations of GenAI resultsExperience with Agile, iterative and MVP-driven ways of workingEnglish, French and Dutch, with either French or Dutch allowed to be at a lower level