Senior Principal AI/HPC Architect at NTT DATA · Remote (Italy)
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Read from this job's ad: what it asks for, so you can prepare one real example for each.
Networking
A time you used Networking: the problem, what you did yourself, and what happened.
From skills the ad mentions
Kubernetes
A time you used Kubernetes: the problem, what you did yourself, and what happened.
From skills the ad mentions
LLM
A time you used LLM: the problem, what you did yourself, and what happened.
From skills the ad mentions
Significant experiencein a consulting,presalesor architecture role within a large-scale (preferably multi-national) technology services envi
An example from your own work that shows this.
From the ad's requirements
Demonstrable experience designing and delivering production AI platforms — from single multi-GPU servers through to multi-rack training clus
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From the ad's requirements
Strong working knowledge of the AI hardware vendor landscape (NVIDIA, AMD, Intel, Dell, HPE, Lenovo, Supermicro, Cisco, Pure, VAST, WEKA, DD
An example from your own work that shows this.
From the ad's requirements
Proven ability to translate AI workload requirements (model size, parameter count, sequence length, throughput SLOs, latency targets) intoac
An example from your own work that shows this.
From the ad's requirements
Significant client engagement and consulting experience, including client needs assessment, change management and the ability toidentifywhit
An example from your own work that shows this.
From the ad's requirements
Strong understanding of how AI infrastructure integrates with business processes, applications, dataplatformsand existing enterprise archite
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From the ad's requirements
Remote Working
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From the ad's requirements
NTT DATA
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From the ad's requirements
Candidate reports: questions verified applicants typed in their interview reviews on JobRipe, shown as written.
No candidate has shared interview questions for NTT DATA on JobRipe yet. Use the job ad and our guide below.
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Our editorial preparation guide: typical questions for the field, not reports from candidates.
Why they ask: Design judgement.
How to answer: Draw it, name the trade-offs, say what you learned.
Why they ask: Debugging method.
How to answer: Measure first, then caching, queries, indexes, async work.
Why they ask: Quality habits.
How to answer: Unit, integration, and what you would not test.
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Why they ask: Networking is named in the posting.
How to answer: One concrete project, one honest lesson.
Why they ask: Kubernetes is named in the posting.
How to answer: One concrete project, one honest lesson.
Why they ask: Opener to see how you frame your story.
How to answer: Two minutes: current role, one achievement that matches this job, why this company now.
Why they ask: Checks ownership and depth.
How to answer: Use situation, action, result. Quantify the result.
Why they ask: Tests accountability and learning.
How to answer: Pick a real failure, own your part, show the fix and what changed afterwards.
Questions to ask them