AI / Cloud Architect (m/w/d)

Avnet Business Services GmbH

Avnet Business Services GmbH is the service provider of the Avnet Group in EMEA, founded in 2020. With its brands EBV Elektronik, Avnet Silica, Avnet Abacus, Avnet Embedded and Farnell, Avnet is one of the world's most successful distributors of semiconductor products and related services. Avnet is also an S&P 500 listed group. Employees in 70 countries set new standards every day in terms of innovation and quality, for which Avnet has been known in the market for 100 years.

AI / Cloud Architect (m/w/d) - EMEA

Location: EMEA Headquarters, Poing near Munich, Germany

We are looking for an experienced AI / Cloud Architect (m/w/d) to help shape our enterprise data and AI landscape across the EMEA organization. In this senior individual contributor role, you will identify and evaluate AI-powered automation opportunities, define data product strategies, and establish governance frameworks that enable responsible, scalable, and value-driven AI adoption.

You will act as a bridge between business, data, AI, and technology-turning complex business challenges into scalable solutions and ensuring that AI initiatives deliver measurable business value.

Your Responsibilities

• Systematically identify, evaluate, and prioritizeAI-driven automation use cases across our EMEA organization.
• Localize and adapt global AI products and solutions developed by our internal AI Center of Excellence (AI CoE) to meet regional business requirements.
• Conduct structuredfeasibility assessments, including ROI modeling, data availability assessments, risk analysis, and build-vs-buy evaluations.
• Collaborate closely withbusiness domain owners, product teams, data engineers, and technology stakeholders to translate business challenges into scalable AI solutions.
• Track, measure, and report on thebusiness value and realized benefits of deployed AI initiatives.
• Support the complete lifecycle of strategicdata products, from initial design and development through delivery, adoption, and continuous improvement.
• Partner with data engineering teams to ensurereliable, scalable, and high-performing data pipelines supporting analytics and machine learning workloads.
• Promote and establish aData-as-a-Product mindset across business units.
• Contribute to the development ofAI and data governance frameworks, ensuring responsible, secure, and sustainable adoption of AI technologies.
• Help shape the futurecloud, data, and AI architecture across the EMEA organization.

Your Profile

• Degree inComputer Science, Business Administration, Engineering, or a comparable qualification; equivalent professional experience is also welcome.
• Strong understanding ofmodern cloud data architectures and enterprise technology landscapes.
• Strong business-case mindset with experience inROI analysis, prioritization, business value assessment, and value tracking.
• Hands-on experience withMicrosoft Azure, particularly in data, compute, and networking services.
• Experience designinghybrid network architectures and cloud landing zones, combined with a solid understanding of underlying network technologies.
• Hands-on experience withLLM-based automation, generative AI, or AI platforms.
• Familiarity with modernweb technologies and architectures.
• Ability to connect strategic business requirements with practical, scalable technology solutions.
• Strong analytical and problem-solving skills with a structured approach to evaluating complex challenges.
• Fluent English, both written and spoken.

Your Personality

• You areself-motivated, curious, and proactive, with a strong sense of ownership.
• You have excellenttime management and prioritization skills.
• You enjoy learning new technical concepts and can communicate them effectively to both technical and non-technical stakeholders.
• You are a strongtroubleshooter with a high level of attention to detail.
• You are comfortable working independently while collaborating across multiple functions and organizational levels.
• You combinestrategic thinking with a hands-on, pragmatic approach.

What We Offer

• Flat hierarchies, short decision-making paths, and a high degree of personal responsibility with a wide scope for decision-making.
• Structured onboarding as part of our NEO program, combined with qualified induction and training.
• Flexible working hours based on a 38.5-hour week.
• Hybrid working model with approximately one office day per week.
• The opportunity towork abroad for up to 10 days per year.
• 30 days of vacation plus additional special leave days for private matters.
• Comprehensive group accident insurance, including coverage outside working hours.
• Supplementary health insurance with Allianz, including subsidized preventive check-ups, dental coverage, and other benefits.
• Subsidized company pension scheme.
• Additional capital-forming benefits (VWL).
• Wellpass membership for fitness and health.
• JobBike leasing.
• Subsidizedchildcare facilities and company canteen.

Ready to Shape the Future of AI and Data?

If you are passionate about combiningAI, cloud technology, data, and business value and want to play a key role in shaping our EMEA technology landscape, we would love to hear from you.

Join us and help turn AI opportunities into scalable, measurable business impact

The above statements are intended to describe the general nature and level of work being performed. They are not intended to be construed as an exhaustive list of all responsibilities, duties, and skills.

Avnet is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability. If you are interested in applying for employment with Avnet and need special assistance or an accommodation to apply for a posted position contact our Human Resources Service Center in your region: Americas applicants - [email protected], Asia applicants -[email protected], EMEA applicants - [email protected].

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