Internship — AI Workflows for Consulting

Cigno AI

Lausanne

Vor Ort

CHF 17.000 - 26.000

Vollzeit

Vor 3 Tagen
Sei unter den ersten Bewerbenden

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Zusammenfassung

Cigno AI in Lausanne offers a full-time internship focused on designing and refining AI-driven workflows for consulting. You will collaborate with product and engineering teams to map processes into AI components, prototype workflows, and document results for client-ready demos.

The role emphasizes learning foundational AI concepts, exposure to consulting frameworks, and cross-functional teamwork in a fast-paced environment.

Qualifikationen

  • Strong analytical and problem-solving abilities.
  • Foundational knowledge of AI and LLM tools.
  • Interest in management consulting and business analysis.
  • Effective written and verbal communication.
  • Ability to collaborate in cross-functional teams.
  • Currently pursuing or recently completed a degree in a relevant field.
  • Comfort with experimentation and iteration.

Aufgaben

  • Map consulting processes into AI workflows.
  • Build and document prototype AI workflows.
  • Validate outputs against consulting standards.
  • Prepare client-ready demos and knowledge base materials.
  • Collaborate with domain experts to improve quality.

Ausbildung

Economics degree

Tools

LLM tools

Jobbeschreibung

Company Description

Cigno AI is building an AI-native core consulting system that augments management consultants in delivering faster, deeper, and sharper work across Strategy, M&A, Technology, Operations, and Data projects. The platform combines specialized AI agents and workflows, hundreds of consulting frameworks, and curated data sources to produce client-ready, fully sourced, and auditable outputs while keeping consultants in control. Cigno enables consulting firms to embed their own methodologies, knowledge bases, and visual identity, allowing them to productize their IP, standardize quality, and scale delivery on dedicated, sovereign instances hosted in Europe. The company has been co-designed with senior partners from leading global firms, and European mid-market consultancies, supported by a board and advisors with backgrounds at Bain, DLA Piper, Swissquote, and more. Cigno is driven by the conviction that AI should elevate, not replace, human insight, judgment, and trust, ushering in a new golden age for consulting.

Role Description

This is a full-time internship role focused on AI workflows for consulting. The intern will work closely with product and engineering teams to design, test, and refine AI-driven workflows that support consulting use cases across strategy, due diligence, technology, operations, and data analytics. Day-to-day tasks may include mapping consulting processes into AI workflows, building and documenting prototype workflows, validating outputs against consulting standards, and collaborating with domain experts to improve quality and reliability. The role involves researching consulting frameworks and data sources, translating them into structured, machine-usable components, and iterating based on feedback from internal and external users. The intern will also contribute to preparing client-ready demos, workflow documentation, and knowledge base materials that help consulting teams adopt Cigno’s AI-native system.

Qualifications
  • Strong analytical and problem-solving abilities, with capacity to break down complex consulting workflows into structured steps.
  • Foundational knowledge of AI (e.g., working with LLM-based tools).
  • Interest or experience in management consulting, strategy, or business analysis, including familiarity with common consulting frameworks.
  • Effective written and verbal communication skills, with attention to clarity, structure, and client-ready presentation.
  • Ability to collaborate in cross-functional teams, and manage time and priorities in a fast-paced environment.
  • Currently pursuing or recently completed a degree in a relevant field (e.g., Business, Economics, or related discipline).
  • Comfort with experimentation and iteration, including testing workflows, documenting findings, and incorporating feedback
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