AI Transformation Consultant – Final-Year Internship

Jobtailor

Paris

Sur place

EUR 17 000 - 23 000

Temps partiel

Il y a 3 jours
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Résumé du poste

Jobtailor is seeking a final-year Master’s student to identify high-ROI AI use cases, translate business needs into technical specs, and design agentic workflows with experts. The role emphasizes governance, security, and cross-functional collaboration with decision-makers on strategic AI topics.

You will test new AI models, contribute to R&D efforts, and support change management across international projects, working within a dynamic tech environment.

Qualifications

  • Final-year student (Master’s level) at a leading engineering or business school, or top-tier university master’s program
  • Hands-on experience with AI tools: prompting, APIs, no-code/low-code tools, or personal projects
  • Understanding of RAG, agents, and LLMs
  • Ability to break down a business problem, cross-reference data, and deliver a structured recommendation
  • Clear communication skills and the ability to explain complex topics in accessible terms
  • Fluent English (B2/C1), essential for working with technology stacks and international projects

Responsabilités

  • Identify high-ROI AI use cases and model business value
  • Challenge technology choices, build-versus-buy decisions and model selection
  • Design agentic workflows and RAG systems with technology experts
  • Incorporate governance and security requirements
  • Translate business needs into technical specifications
  • Co-facilitate workshops with decision-makers
  • Support change management initiatives with teams
  • Test the latest AI models and conduct advanced technology watch and R&D
  • Contribute to strategic projects under the guidance of a Senior Consultant or Manager

Connaissances

AI Tools Experience
RAG
Business Problem Analysis
Clear Communication
Fluent English

Formation

Master’s level in engineering or business

Outils

APIs
No-Code Tools
Low-Code Tools

Description du poste


  • Identify high-ROI AI use cases and model business value

  • Challenge technology choices, particularly build-versus-buy decisions and model selection

  • Design agentic workflows and RAG systems with technology experts

  • Incorporate governance and security requirements

  • Translate business needs into technical specifications

  • Co-facilitate workshops with decision-makers

  • Support change management initiatives with teams

  • Test the latest AI models and conduct advanced technology watch and R&D

  • Contribute to strategic projects under the guidance of a Senior Consultant or Manager


Requirements


  • Final-year student (Master’s level) at a leading engineering or business school, or in a top-tier university master’s program

  • Hands-on experience with AI tools: prompting, APIs, no-code/low-code tools, or personal projects

  • Understanding of RAG, agents, and LLMs

  • Ability to break down a business problem, cross-reference data, and deliver a structured recommendation

  • Clear communication skills and the ability to explain complex topics in accessible terms

  • Fluent English (B2/C1), essential for working with technology stacks and international projects


Core Competencies

Demonstrates the ability to identify high-ROI AI use cases and translate business needs into technical specifications while incorporating governance and security requirements. Proficient in AI tools and capable of facilitating workshops and supporting change management initiatives.


Highest-signal resume keywords


  • AI Tools Experience

  • Understanding Of RAG

  • Business Problem Analysis

  • Clear Communication Skills

  • Fluent English (B2/C1)


Hard Skills


  • AI Use Case Identification

  • Technical Specification Translation

  • Model Selection

  • Workflow Design

  • Data Cross-Referencing


Soft Skills


  • Clear Communication

  • Facilitation Skills

  • Change Management Support


Industry Keywords


  • Governance Requirements

  • Security Requirements

  • Advanced Technology Watch

  • R&D


Tools & Technologies


  • APIs

  • No-Code Tools

  • Low-Code Tools

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