Private AI / GenAI Engineer – International

Build a self-contained GenAI capability in a NATO Secret, air-gapped OCI environment, focusing on LLM hosting, RAG, secure inferencing, and GPU/containerised workloads.

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Eisen

  • Experience with Terraform / Infrastructure as Code.
  • Ability to work on classified / high-assurance workloads.
  • Ability to work within a Zero Trust security model.
  • ML/GenAI engineering focus on LLM hosting, RAG, secure inferencing, and GPU/containerised workloads.
  • OCI-experienced profiles are the top priority.
  • NATO Secret (NS) clearance is required.
  • Ability to work in an air-gapped / isolated cloud environment with no live connectivity to public cloud.
Volledige omschrijving

Private AI / GenAI Engineer – International. Build a self-contained GenAI capability in a NATO Secret, air-gapped OCI environment, focusing on LLM hosting, RAG, secure inferencing, and GPU/containerised workloads.

Start date: 5-10-2026, end date: 31-10-2027, hours p/w: 40.00 (also listed as 32-36 uur), contract type: Secondment, rate in consultation.

What will you do: NATO Secure Cloud Service - Lot 1 | 12-month Prototype / Proof of Concept.

Project context: Our client is delivering a secure, off-premises cloud capability for NATO, based on Oracle Cloud Infrastructure (OCI). The Lot 1 solution is physically and logically air-gapped, with no live connectivity to public cloud, and is designed for classified, high-assurance workloads. Oracle is the technology subcontractor and Cisco the network hardware partner.

Role focus: ML/GenAI engineers - LLM hosting, RAG, secure inferencing, GPU/containerised workloads.

Key responsibilities: Build a self-contained GenAI capability inside the protected environment. Support isolated LLM hosting, RAG, secure inferencing and vector storage. Engineer GPU-enabled and containerised AI workloads without external AI or internet dependency. Support AI-assisted analysis within the secure cloud boundary.

Environment & technologies: Oracle Cloud Infrastructure (OCI), air-gapped / isolated cloud environment, Terraform / Infrastructure as Code, Zero Trust security model, classified / high-assurance workloads, LLM hosting, RAG and vector storage, GPU-enabled compute, containerised workloads.

Clearance & delivery model: NATO Secret (NS) clearance is required and cleared, OCI-experienced profiles are the top priority. A hybrid delivery model is being contemplated, with the possibility of partially non-NS-cleared personnel for suitable roles. Priority remains with NS-cleared candidates.

Duration & timing: The engagement is a 12-month prototype. Heavy build activity is concentrated in approximately the first 6-7 months, followed by accreditation and test/run activities through month 12. The FTE figures indicate demand intensity and are not headcount commitments. Clearance Peak FTE Average FTE: NATO Secret (NS) required* 4.0 2.4.

What do you bring: Must-haves: NATO Secret (NS) clearance is required. OCI-experienced profiles are the top priority. ML/GenAI engineering focus on LLM hosting, RAG, secure inferencing, and GPU/containerised workloads. Ability to work in an air-gapped / isolated cloud environment with no live connectivity to public cloud. Experience with Terraform / Infrastructure as Code. Ability to work within a Zero Trust security model. Ability to work on classified / high-assurance workloads.

Apply: Introduction with Recruitment: conversation with recruiter to discuss experience, ambitions, and fit.

Presentation to the client: after positive introduction, submit profile to client.

Client interview: if invited, interview takes place, account manager present or contact in advance. Depending on client, one or two interviews, online or on-site.

Finalization and start: arrange contractual matters.

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