GenAI Functional Analyst

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Arrondissement of BrusselsCapital, Brussels, Belgique E-Resourcing Belgium BV Temps plein

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pIn an Agile organization, you will be part of a multidisciplinary team (Marketeers, Analysts, Process Engineers, etc.), acting as the bridge between business and technical profiles within the Automation Squad on (Gen)AI topics. /p pAs a Functional Analyst, you will analyze and translate requirements and processes into specifications. You will propose end-to-end solutions as part of the team, ensuring they meet business needs and are cost-efficient. /p pThrough an iterative and adaptable approach, you will challenge requirements and specifications. By applying an MVP way of working, you will ensure rapid time to market and immediate value creation. /p h3Experience /h3 ul liProven experience as an analyst on implementations of GenAI changes within a corporate organization. /li liProven experience with Generative AI technologies and applications such as Azure AI and AWS. /li /ul h3Technical Skills Requirements /h3 ul libAI Functional Knowledge: /b 3-5 years of experience. /li libAWS: /b 3-5 years of experience. /li libTrilingual EN/FR/NL: /b Fluency in English, French and Dutch (either French or Dutch can be at a lower level). /li libBelgian Energy Sector: /b 3-5 years of experience. /li libPython Scripting: /b 3-5 years of experience. /li liStrong communication skills, essential for translating technical concepts related to GenAI to non-technical stakeholders. /li liAbility to foster collaboration and build relationships across diverse teams. /li liDemonstrated maturity in stakeholder management, with a focus on outcomes and value. /li liAbility to challenge experienced AI engineers and analysts with a critical mindset. /li liKnowledge of Generative AI principles, including how models such as Large Language Models (LLMs) work. /li liPrompt Engineering and guardrail management skills. /li liBasic or confirmed AWS AgentCore technical skills. /li liKnowledge of Agentic AI within M365 and MS Copilot Studio. /li liFamiliarity with data analytics concepts and tools. /li liProficiency in programming languages such as Python, particularly for working with AI models and data manipulation. /li liAbility to analyze, evaluate and visually represent (Gen)AI results. /li liKnowledge of different measurements and KPIs related to (Gen)AI. /li liAnalysis and preparation of functional specifications. /li liAutomation and industrialization of activities. /li liAnalysis, evaluation and visualization of Generative AI results. /li liCollaboration with business and technical stakeholders to define and implement end-to-end GenAI solutions. /li /ul

GenAI Functional Analyst

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