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Artefact

Data and AI-driven business transformation consulting

Senior AI Builder

Corporate & Technical TrainingPosted on Nov 10
Full-timeParis, France€53k - €63k /yrIn-person

About the Job

Requirements

  • At least 2 years of experience in consulting, digital transformation, data or AI, or change management, including initial experience leading a workstream or mission and coaching junior consultants.
  • A higher-education qualification at licence or master's level.
  • Strong command of generative and agentic AI, with the ability to design and evolve functional AI agents and solutions using no-code, low-code, or vibe-coding approaches.
  • Ability to design and facilitate engaging learning experiences, collaborative workshops, and practice-based skills development.
  • Ability to understand business challenges and processes, engage stakeholders, and support transformation of tasks, roles, and work practices.
  • Fluent written and spoken French and English.

Responsibilities

  • Lead a defined workstream or mission with autonomy and direct client contact; deliver work to a high standard and be accountable for its results.
  • Lead capability-building initiatives, design AI agents and solutions with business teams, and support their adoption.
  • Use end-user challenges, processes, and pain points to develop practical AI solutions and learning experiences.
  • Identify opportunities to redesign tasks, roles, responsibilities, and ways of working with AI, linking bottom-up initiatives with large-scale transformation programs alongside AI Strategy and Engineering teams.
  • Facilitate workshops with business teams and Learning and Development to analyze needs, segment audiences, and map workflows.
  • Propose target solutions, define the roles of people and agents, specify required controls and acceptance criteria, and design learning-module or program sequences with use cases, practice time, and evaluation methods.
  • Create contextualized workshops and playbooks; prototype simple assistants or agents before and during sessions using approved platforms and reusable patterns.
  • Define and execute test sets, user tests, and quality criteria; document limitations and obtain approval for sensitive points.
  • Facilitate sessions independently, adapt them to audience skill levels, and coach a junior colleague on their initial sessions.
  • Translate business questions into KPIs, definitions, and complete dashboards; deliver these independently and turn analyses into a storyline with clear implications.
  • Organize office hours, application challenges, and train-the-trainer activities; equip champions and frontline managers.
  • Support solution use, train maker representatives, and prepare handover materials.
  • Use user feedback within the agreed scope to propose prioritized improvements.
  • Track use-case adoption and value, skills acquired, replicability, and initial usage; propose concrete adjustments to improve activation.
  • Contribute to analyzing barriers and developing the program change plan under the mission lead's responsibility.
  • Identify IT dependencies and security risks, and determine when escalation to IT or AI Engineering is needed.

About the Company

Artefact

Data and AI-driven business transformation consulting

Artefact helps organizations use data and AI to transform their operations and decision-making. It provides end-to-end services across the data value chain, from strategy and data platform implementation to governance, advanced analytics, and sector-specific AI tools, delivered through consulting and project execution. The company works with industries like FMCG, retail, and luxury goods to optimize marketing performance, customer engagement, and ROI. Artefact differentiates itself by combining consulting expertise with data science and AI capabilities across multiple regions, offering integrated, sector-focused solutions rather than just advisory services. The main goal is to help clients adopt data-driven approaches to improve efficiency, decision quality, and marketing results at scale.

Company size
1,001-5,000
Company stage
IPO
Headquarters
Paris, France
Founded
1998

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