- Define the reference architecture for GPU-based compute (compute, networking, storage, security boundaries, capacity planning, operational standards).
- Design a production-grade, multi-tenant platform layer built around Kubernetes, including GPU scheduling/isolation, identity and access management, tenancy boundaries, policy controls, and automation.
- Establish observability and reliability practices: metrics, logs, traces, SLOs/SLAs, incident readiness, upgrades, and lifecycle management.
- Deliver the first production deployment in a single datacenter, with a clear path to scale out to multiple datacenters soon after.
- Architect and guide implementation of a service layer for model serving and AI workloads on our infrastructure, including:
- High-performance inference serving patterns (for example vLLM-class approaches)
- Retrieval-Augmented Generation pipelines (chunking, embeddings, retrieval quality, governance and auditability)
- Vector search and knowledge storage (for example Qdrant-class systems)
- Strict tenant isolation and data residency controls from day one
- Drive buy vs build decisions for platform components and define the integration architecture, with freedom to propose alternatives.
- Start architecture-led, then progressively become more hands-on as the platform moves into build and production phases.
- Define the hiring plan for the initiative: which roles we need, sequencing, and what to outsource versus build in-house.
- Mostly internal role, with the ability to join customer conversations when deep technical credibility is needed.
- Support an initial assisted onboarding approach for v1, while designing the platform so we can move to self-service provisioning quickly.
- Senior experience designing and operating cloud platforms or infrastructure products.
- Strong production experience with GPU workloads and container platforms.
- Ability to lead ambiguous greenfield initiatives, make pragmatic trade-offs, and drive execution with stakeholders.
- Comfortable defining a multi-tenant architecture from day one (hard isolation per customer).
- Experience with NVIDIA GPU infrastructure/software stack and operating GPU clusters at scale is a plus.
- Experience supporting enterprise customers and multi-tenant platforms is a plus (not a strict requirement).
- Fluent English proficiency; Dutch is not required.
- Must be able to live and work in the Netherlands (visa sponsorship available).
- Experience designing inference-serving platforms (request routing, batching, cost/utilization optimization).
- Building RAG systems end-to-end: embedding models, chunking strategy, retrieval evaluation, governance/auditability.
- Exposure to metering/chargeback and integrating with existing billing solutions.
- Multi-datacenter platform design considerations (capacity, rollout strategy, operational model).
- Experience designing self-service provisioning (portal/API) for infrastructure platforms.
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Title: Lead AI Platform Architect (GPU Compute & Secure AI Services) · Location: Hoofddorp (On-site, 5 days/week) · Type: Full-time · Language: Fluent English required (Dutch not required) · Eligibility: Must live and work in the Netherlands · About the role · We sell AI hardwar ...
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Title: Lead AI Platform Architect (GPU Compute & Secure AI Services) · Location: Hoofddorp (On-site, 5 days/week) · Type: Full-time · Language: Fluent English required (Dutch not required) · Eligibility: Must live and work in the Netherlands · About the role · We sell AI hardware ...
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AI Platform Architect - Hoofddorp - Circle B
1 week geleden
Beschrijving
Lead AI Platform Architect (GPU Compute & Secure AI Services)
About the role
We sell AI hardware and operate our own infrastructure. We are building a new GPU compute platform and a set of secure AI service capabilities on top of it for enterprise use cases.
This is a greenfield initiative: you will own the end-to-end architecture across physical design, platform software layers, and the roadmap required to reach product-market fit. You will lead this initiative independently, reporting to the Head of Technology and working closely with other stakeholders.
What you'll own:
Platform and infrastructure
Secure AI service capabilities (confidential initiative)
Team and execution
What we're looking for
Preferred experience (nice to have)
Working model
This is an on-site role in Hoofddorp, 5 days per week, to stay close to the hardware, platform engineering, and execution environment.
Our Work Culture-
Circle B offers an informal working atmosphere with energetic people who enjoy being part of a rapidly growing and successful organisation. We have an open management culture in which we encourage all colleagues to contribute to the process of improving our products, services and processes. We offer competitive pay packages, but more importantly, a fun and exciting place to work where you can develop your skills and build a career.
If you want to join a fast growing technological company and find the above a good fit, Please mail your motivation letter and CV to - Applications without motivation will be rejected.
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