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At Capgemini Invent, inventive transformation consultants blend strategic, creative and scientific capabilities to deliver cutting-edge solutions. Join to drive transformation tailored to clients' challenges, informed by science and data, powered by creativity and design, and underpinned by purposeful technology.

Tasks

  • Embed with client teams to turn ambiguous business problems into production-ready AI, data and automation solutions.
  • Partner with client teams to understand business challenges, operational workflows, user needs and technical environments.
  • Identify high-value opportunities and translate business needs into clear AI, data and automation solutions.
  • Design, build and integrate agents, applications, workflows, data products and AI-enabled solutions.
  • Rapidly prototype, test, deploy and scale solutions using code, low-code platforms and partner technologies.
  • Drive adoption, measure business value and continuously improve solutions while contributing reusable assets and accelerators.

Requirements

  • 2-4 years of experience building and deploying AI, data, automation or software solutions.
  • Experience in consulting, technology or an innovation-driven enterprise is a plus.
  • Proven ability to take ambiguous business problems from idea to working implementation.
  • Experience working directly with business stakeholders, end users and technical teams.
  • Proficiency in Python, TypeScript or similar programming languages.
  • Practical experience with APIs, databases, Git, testing and CI/CD.
  • Experience with cloud platforms, preferably Microsoft Azure.
  • Experience with workflow automation platforms such as n8n, Power Automate or comparable tools.
  • Ability to combine code, low-code platforms and partner technologies pragmatically to build working solutions.
  • Experience with AI-powered applications, assistants or agents.
  • Agentic solutions using Anthropic Agent SDK, OpenAI Agents SDK, LangGraph, Microsoft Agent Framework or comparable frameworks.
  • Experience with AI-native engineering tools such as GitHub Copilot, Claude Code, OpenAI Codex or equivalent.
  • Experience with LLM-based solutions, RAG, tool calling, MCP, multi-agent orchestration, guardrails, evaluation or observability.
  • Azure-based AI solutions using Microsoft Foundry Agent Service, Azure OpenAI, Azure AI Search or comparable services.
  • Experience with data products, analytics solutions, reporting, integrations or automation workflows.
  • Strong analytical and problem-solving skills.
  • Clear communicator who can translate between business needs and technical solutions.
  • Hands-on, proactive and delivery-oriented builder mindset.
  • Curious, pragmatic and eager to learn new technologies.
  • Strong ownership to turn ideas into tangible, production-ready solutions.
  • Excellent written and spoken English.
  • German for Zurich or French for Geneva is mandatory at minimum C1 level.

Benefits

  • Support clients through innovative strategy projects around digital, future-proof topics that challenge and transform the status quo.
  • Craft your own career path through continuous learning and personal growth.
  • Hybrid working offering flexibility and ensuring work-life balance.
  • 5 weeks of vacation.
  • Employee referral bonus.
  • Company shares program.
  • Annual contribution to a fitness subscription.
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Über uns
Capgemini Suisse SA ist die Schweizer Gesellschaft der internationalen Capgemini-Gruppe und erbringt Dienstleistungen in den Bereichen Technologie, Beratung, digitale Transformation und Engineering. Das Unternehmen unterstützt Unternehmen und Organisationen bei IT-Strategie, Softwareentwicklung, Cloud, Data & AI, Cybersecurity, Business Transformation, Digital Customer Experience und technologischer Umsetzung. Capgemini Schweiz ist an den Standorten Zürich, Basel, Genf und Lausanne präsent und verbindet lokale Beratung mit den Ressourcen und Fachkompetenzen des globalen Capgemini-Netzwerks.
Das Team

The Capgemini Invent Enterprise Data and Analytics (ED&A) team helps organizations in Switzerland build robust data foundations for impactful AI, overcoming the pilot barrier and scaling innovation across industries such as Life Sciences, Consumer Products and Retail, Financial Services, Manufacturing and Public Sector.

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