Private AI / GenAI Engineer – International

Private AI / GenAI Engineer – International

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

Practical: Start date: 5-10-2026 | End date/period: 31-10-2027 | Hours p/w: 40.00 | Contract type: Secondment | Rate: in consultation/ Per hour

What will you do

Secure Cloud Service - Lot 1 | 12-month Prototype / Proof of Concept

Project context

Our client is delivering a secure, off-premises cloud capability, 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

Secret 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

What do you bring

Must-haves

• Secret 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

1. Introduction with Recruitment: You start with a conversation with our recruiter to discuss your experience, ambitions, and the fit with the role.
2. Presentation to the client: After a positive introduction, we submit your profile to the client.
3. Client interview: If the client invites you, the interview takes place. Our account manager will either be present for the introduction or will contact you in advance. Depending on the client, this will be one or two interviews, online or on-site.
4. Finalization and start: With a successful match, we arrange the contractual matters so you can start your new role with peace of mind.