Auf einen Blick
- Aufgaben: Gestalte und implementiere AWS-Lösungen für Kundenbedürfnisse.
- Arbeitgeber: AWS ist die weltweit führende Cloud-Plattform mit innovativen Lösungen.
- Mitarbeitervorteile: Flexible Arbeitszeiten, Mentorship-Programme und eine inklusive Unternehmenskultur.
- Warum dieser Job: Werde Teil eines dynamischen Teams, das Kunden auf ihrer Cloud-Reise unterstĂĽtzt.
- GewĂĽnschte Qualifikationen: Erfahrung in Cloud-Architektur und Projektmanagement erforderlich.
- Andere Informationen: Diverse Erfahrungen sind willkommen; bewirb dich auch ohne alle Qualifikationen.
Das voraussichtliche Gehalt liegt zwischen 72000 - 84000 € pro Jahr.
Data and GenAI Architect, AWS, Professional Services
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Data and GenAI Architect, AWS, Professional Services
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Description
The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you\’ll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You\’ll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle.
Description
The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you\’ll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You\’ll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle.
Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You’ll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project.
The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries.
Key job responsibilities
As an experienced technology professional, you will be responsible for:
- Designing and implementing complex, scalable, and secure AWS solutions tailored to customer needs
- Providing technical guidance and troubleshooting support throughout project delivery
- Collaborating with stakeholders to gather requirements and propose effective migration strategies
- Acting as a trusted advisor to customers on industry trends and emerging technologies
- Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts
About The Team
Diverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture – Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
Mentorship & Career Growth – We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance – We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.
Basic Qualifications
- Experience in cloud architecture and implementation
- Bachelor\’s degree in Computer Science, Engineering, related field, or equivalent experience
- Experience in cloud based solution (AWS or equivalent), system, network and operating system
- Experience in external or internal customer facing, complex and large scale project management
- Demonstrated experience in hosting and deploying GenAI/ML solutions in production (e.g., for training, fine tuning, and inferences)
Preferred Qualifications
- AWS experience preferred, with proficiency in a wide range of AWS services (e.g., EC2, S3, RDS, Lambda, IAM, VPC, CloudFormation)
- AWS Professional level certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional) preferred
- Experience with automation and scripting (e.g., Terraform, Python)
- Knowledge of security and compliance standards (e.g., HIPAA, GDPR)
- Strong communication skills with the ability to explain technical concepts to both technical and non-technical audiences
- Strong working knowledge of deep learning, machine learning and statistics
- Hands on experience with deep learning (e.g., CNN, RNN, LSTM, Transformer), machine learning, CV, GNN, or distributed training
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( to know more about how we collect, use and transfer the personal data of our candidates.
m/w/d
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Company – AWS EMEA SARL (Germany Branch)
Job ID: A3003300
Seniority level
-
Seniority level
Not Applicable
Employment type
-
Employment type
Full-time
Job function
-
Job function
Consulting, Information Technology, and Engineering
-
Industries
IT Services and IT Consulting
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Data and GenAI Architect, AWS, Professional Services Arbeitgeber: Amazon Web Services (AWS)
Kontaktperson:
Amazon Web Services (AWS) HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Data and GenAI Architect, AWS, Professional Services
✨Tip Nummer 1
Netzwerke sind entscheidend! Nutze Plattformen wie LinkedIn, um mit aktuellen und ehemaligen AWS-Mitarbeitern in Kontakt zu treten. Frage nach ihren Erfahrungen und Tipps fĂĽr die Bewerbung bei AWS.
✨Tip Nummer 2
Informiere dich über die neuesten Trends in der Cloud-Technologie und GenAI. Zeige in Gesprächen oder Interviews, dass du über aktuelle Entwicklungen Bescheid weißt und wie sie die Branche beeinflussen.
✨Tip Nummer 3
Bereite dich auf technische Interviews vor, indem du häufige Fragen zu AWS-Diensten und Architekturen übst. Nutze Online-Ressourcen und Übungsplattformen, um dein Wissen zu vertiefen.
✨Tip Nummer 4
Zeige deine Leidenschaft für Cloud-Lösungen und GenAI in persönlichen Projekten oder durch Beiträge in Fachforen. Dies kann dir helfen, dich von anderen Bewerbern abzuheben und deine Expertise zu demonstrieren.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Data and GenAI Architect, AWS, Professional Services
Tipps für deine Bewerbung 🫡
Verstehe die Anforderungen: Lies die Stellenbeschreibung sorgfältig durch und achte auf die spezifischen Anforderungen und Qualifikationen, die für die Rolle des Data and GenAI Architect bei AWS erforderlich sind. Notiere dir Schlüsselbegriffe und Fähigkeiten, die du in deiner Bewerbung hervorheben möchtest.
Individualisiere deinen Lebenslauf: Passe deinen Lebenslauf an die Stelle an, indem du relevante Erfahrungen und Fähigkeiten hervorhebst, die mit den Anforderungen der Position übereinstimmen. Betone deine Kenntnisse in Cloud-Architektur, AWS-Diensten und Projektmanagement.
Motivationsschreiben verfassen: Schreibe ein überzeugendes Motivationsschreiben, in dem du erklärst, warum du dich für diese Position interessierst und wie deine Erfahrungen und Fähigkeiten zur Erreichung der Unternehmensziele von AWS beitragen können. Zeige deine Leidenschaft für Cloud-Technologien und innovative Lösungen.
Prüfe deine Unterlagen: Bevor du deine Bewerbung einreichst, überprüfe alle Dokumente auf Vollständigkeit und Richtigkeit. Achte darauf, dass dein Lebenslauf und dein Motivationsschreiben fehlerfrei sind und alle relevanten Informationen enthalten.
Wie du dich auf ein Vorstellungsgespräch bei Amazon Web Services (AWS) vorbereitest
✨Verstehe die AWS-Dienste
Stelle sicher, dass du ein tiefes Verständnis der verschiedenen AWS-Dienste hast, insbesondere derjenigen, die für die Rolle relevant sind. Bereite dich darauf vor, spezifische Beispiele zu geben, wie du diese Dienste in früheren Projekten eingesetzt hast.
✨Bereite dich auf technische Fragen vor
Erwarte technische Fragen zu Cloud-Architektur, GenAI und ML-Lösungen. Übe, komplexe technische Konzepte einfach zu erklären, damit du sowohl technische als auch nicht-technische Interviewer überzeugen kannst.
✨Zeige deine Projektmanagement-Fähigkeiten
Bereite Beispiele vor, die deine Erfahrung im Management komplexer Projekte zeigen. Betone, wie du Anforderungen gesammelt, Strategien zur Migration entwickelt und Risiken während des Projekts gemanagt hast.
✨Sei bereit, über Trends zu sprechen
Informiere dich über aktuelle Trends in der Cloud-Technologie und GenAI. Sei bereit, deine Meinungen zu teilen und zu diskutieren, wie diese Trends die Branche beeinflussen könnten und wie du deinen Kunden helfen kannst, davon zu profitieren.