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Open nowPosted yesterday

AI Engineer (w/m/x) Germany

Avanade662 open roles

Where
Munich
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Your applicationOpen nowAI Engineer (w/m/x) GermanyAvanade · Munich

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Avanade's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

13.7% of postings close within 7 days. Measured by our own scanner across the market. Avanade postings stay open a median of 17 days.

Share of postings closed within
  1. 2.3%1 day
  2. 4.8%3 days
  3. 13.7%7 days
  4. 22.1%14 days
  5. 37.6%30 days
  6. 59.1%60 days
This job: posted yesterday

Avanade median: 17 days open

The posting

Werde Teil unseres Data & AI Teams und gestalte die Zukunft mit Agentic AI – als Schlüsseltechnologie für digitale Transformation und nachhaltige Innovation. Die Stelle ist hybrid, daher ist eine Bewerbung unabhängig vom Standort möglich.

Deine Aufgaben

AI Use Cases und Geschäftsprozesse:

  • Du identifizierst innovative AI Use Cases und begleitest deren Umsetzung – von der technischen Konzeption bis zur Realisierung.

Konzeption und Implementierung:

  • Du entwickelst und implementierst maßgeschneiderte Agentic-AI-Lösungen für verschiedene Branchen auf Basis der Azure-Cloud.

Entwicklung und Pflege von Agentic-AI-Plattformen:

  • Du baust skalierbare Plattformen, die autonome Workflows und intelligente Entscheidungsprozesse mit AI Agents ermöglichen, und stellst deren kontinuierliche Weiterentwicklung sicher.

Optimierung und Automatisierung:

  • Du unterstützt unsere Kunden bei der Optimierung bestehender AI-Lösungen und sorgst für deren kontinuierliche Verbesserung.

Teamarbeit und Innovation:

  • Du arbeitest eng mit interdisziplinären Teams zusammen und hältst dein technologisches Wissen stets aktuell, um unsere AI-Lösungen kontinuierlich weiterzuentwickeln.

.

Qualifikationen

  • Fundierte Python-Kenntnisse sowie Erfahrung mit Agent-Frameworks und Azure AI Services (z. B. Azure OpenAI, LangChain)
  • Kenntnisse in Docker, CI/CD, LLMOps und modernen Cloud-Technologien von Vorteil
  • Praxis in der Entwicklung von Prototypen, PoCs oder MVPs zur Validierung von KI-Anwendungen
  • Erfahrung in der Konzeption, Bewertung und Umsetzung von KI-Lösungen, inkl. Modellauswahl, Architekturdesign und Skalierung sind von Vorteil
  • Starke analytische und problemlösungsorientierte Fähigkeiten mit hohem Qualitätsanspruch
  • Erfahrung in interdisziplinärer Zusammenarbeit sowie klare, business-orientierte Kommunikation
  • Sehr gute Deutsch und Englischkenntnisse (C1/Advanced)
  • Leidenschaft für aktuelle Entwicklungen in den Bereichen AI, ML und Cloud-Technologien.

.

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  1. A CV for this posting

    Written against Avanade's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on Avanade's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    Avanade's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

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  6. The interview in your calendar

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    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
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Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

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The numbers game

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We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

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