GenAI Functional Analyst — Energy Sector (Brussels)

ACENSI; Brussel Hoofdstad; Presencial; EUR 70 000 - 110 000; Tempo integral

Resumo da oferta

ACENSI in Brussels is seeking an Expert Functional Analyst in the energy sector with strong GenAI capabilities. You will bridge business needs with AI engineering, design end-to-end GenAI solutions, and drive MVP delivery while collaborating across diverse teams.

The role requires deep knowledge of GenAI technologies (Azure AI, AWS), Python scripting, energy sector familiarity, and multilingual communication (EN/FR/NL).

Qualificações

• Proven GenAI implementation experience in corporate environments.
• Experience with Generative AI technologies such as Azure AI and AWS.
• AI functional knowledge and understanding of LLMs.
• Python scripting for AI model data manipulation.
• Knowledge of Belgian energy sector and regulations.
• Trilingual EN/FR/NL (FR or NL can be lower).

Responsabilidades

• Analyse and translate requirements into functional specifications.
• Propose end-to-end solutions that meet customer needs and are cost efficient.
• Challenge requirements and specifications through iterative and adaptable approach.
• Ensure rapid time to market and immediate value through MVP.
• Act as link between business and technical GenAI profiles.
• Automation / industrialisation of activities.
• Analysis – functional specifications.

Conhecimentos

GenAI expertise

Azure AI

AWS

Agentic AI

Prompt engineering

Python scripting

Data analytics

Stakeholder management

Communication skills

Energy sector knowledge

Multilingual EN/FR/NL

Ferramentas

Azure AI

MS Copilot Studio

M365

AgentCore AWS

Descrição da oferta de emprego

ACENSI in Brussels is seeking an Expert Functional Analyst in the energy sector with strong GenAI capabilities. You will bridge business needs with AI engineering, design end-to-end GenAI solutions, and drive MVP delivery while collaborating across diverse teams.

The role requires deep knowledge of GenAI technologies (Azure AI, AWS), Python scripting, energy sector familiarity, and multilingual communication (EN/FR/NL).