On-Prem GenAI Platform Engineer

Thales Group; Amsterdam; On-site; EUR 90,000 - 130,000; Full time

Benefits offered by this job

Hybrid work environment

Competitive salary and 40 vacation/yr

Job summary

Thales Group in the Netherlands seeks a DevOps/Platform Engineer to advance our GenAI on-prem ecosystem. You will work in a highly secured environment, building, hosting and managing AI infrastructure entirely in-house on GPU clusters, with air-gapped data flows and strict security rails.

You will deploy AI tooling, manage RAG pipelines, and enable local model routing and multi-agent tooling within the closed network. Fluency in Dutch and English is required, and security screening is mandatory.

Qualifications

• On-Premise and DevOps experience in Linux environments and on-premise data centers.
• Strong programming skills in Python and experience building and integrating local APIs.
• GenAI knowledge: vector indexing, embeddings, and large language models; open-source tools experience preferred.
• Fluent Dutch and English, spoken and written.
• Security screening: national security screening required.

Responsibilities

• AI Container Application Management: deploy, update and maintain AI tooling in on-premise container platforms.
• Air-Gapped RAG and Codebase Infrastructure: build and maintain on-premise retrieval infrastructure.
• On-Premise Model Routing and Lifecycle: configure tooling for local model serving and routing across tasks.
• Agent Orchestration and Tooling: develop local multi-agent frameworks and memory interfaces.
• Air-Gapped Observability: implement local monitoring and tracing dashboards within the network.
• Strict AI Safety and Security Rails: implement guardrails to prevent prompt injections and ensure data compartmentalization.

Skills

Linux

Python

APIs

Security

Tools

Kubernetes

Docker

Job description

Thales Group in the Netherlands seeks a DevOps/Platform Engineer to advance our GenAI on-prem ecosystem. You will work in a highly secured environment, building, hosting and managing AI infrastructure entirely in-house on GPU clusters, with air-gapped data flows and strict security rails.

You will deploy AI tooling, manage RAG pipelines, and enable local model routing and multi-agent tooling within the closed network. Fluency in Dutch and English is required, and security screening is mandatory.