Applications life cycle Business Analyst (Expert) - ENGIE
Description
ENGIE seeks an expert analyst with technical skills for GenAI topics in its Automation Squad. The assignment sits within an Agile organization. The multidisciplinary team includes marketeers, analysts and process engineers. The consultant connects business and technical profiles.
The analyst translates requirements and processes into specifications. End-to-end solutions are proposed collaboratively to address customer needs cost-efficiently. An iterative and adaptable approach is used to challenge requirements and specifications. MVP delivery supports rapid time to market and immediate value creation.
The role calls for corporate GenAI implementation experience and knowledge of platforms such as Azure AI and AWS. Technical expectations include Python, AWS AgentCore, agentic AI in M365 and MS Copilot Studio, prompt engineering and guardrails. The skills table requests trilingual English/French/Dutch capability, allowing either French or Dutch to be weaker. The full-time assignment runs from 23 November 2026 to 31 December 2027 in Brussels, with renewal possible within a three-year total limit.
Top Reasons to Apply
Corporate GenAI implementations
Multidisciplinary Agile team
Agentic AI technologies
Immediate business value
Belgian energy sector
Detailed Responsibilities and Skills
Additional Responsibilities
- Deliver analysis and functional specifications.
General skills
- Proven experience as an analyst on implementations of GenAI changes within a corporate organization.
- Trilingual English/French/Dutch; either French or Dutch may be less proficient; listed importance score 8.
- Belgian energy sector experience at Confirmed level: more than 3 and up to 5 years; listed importance score 6.
- Strong communication skills to translate technical GenAI concepts for non-technical stakeholders.
- Ability to encourage collaboration and build relationships across diverse teams.
- Mature stakeholder management focused on outcomes and value.
- Ability to challenge experienced AI engineers and analysts with a critical mindset.
Technical skills
- Proven experience with Generative AI technologies and applications such as Azure AI and AWS.
- AI functional knowledge at Confirmed level: more than 3 and up to 5 years; listed importance score 10.
- AWS at Confirmed level: more than 3 and up to 5 years; listed importance score 8.
- Python scripting at Confirmed level: more than 3 and up to 5 years; listed importance score 6.
- Knowledge of Generative AI principles, including how large language models work.
- Prompt engineering skills.
- Guardrail management skills.
- Basic or Confirmed AWS AgentCore technical skills.
- Agentic AI knowledge within M365.
- Agentic AI knowledge within MS Copilot Studio.
- Familiarity with data analytics concepts.
- Familiarity with data analytics tools.
- Proficiency in programming languages such as Python, especially for AI models and data manipulation.
- Ability to analyze, evaluate and visually represent GenAI results.
- Knowledge of different GenAI measurements and KPIs.
Tools
- Azure AI
- AWS
- AWS AgentCore
- M365
- MS Copilot Studio
- Python