Jobs / NS
Senior Platform engineer AI
NS · Utrecht Binnenstad, UT, Netherlands
Utrecht Binnenstad, UT, NetherlandsExp: 10+ yrs4,488-7,515 EUROnsite
Remuneration
3% year-end bonus, 8% holiday allowance, pension plan, leave, and travel benefits
Location
Utrecht Binnenstad, UT, Netherlands
Visa sponsorship
Not specified
Job summary
Build and operate an AI engineering platform that enables development teams to use AI safely, reliably, and at scale throughout the software development lifecycle. The role includes developing agentic SDLC capabilities, integrations, security and quality controls, governance, observability, and AI-SDLC metrics, while helping DevOps teams adopt tools such as GitHub Copilot and Claude Code.
Benefits
144 statutory leave hours for full-time employment, plus age-dependent additionaOption to exchange three Christian public holidays for three non-Christian publi3% year-end bonus8% holiday allowancePension planFree second-class train travelFree off-peak travel for family membersDiscounts on European train travel after one yearProfessional development opportunitiesBenefits plan with options including a bicycle plan, additional pension contribu
Qualifications
- At least 10 years of experience as a senior software or platform engineer.
- Higher professional or university-level working and thinking ability.
- Demonstrable experience with LLMs and AI agent tooling, including concepts such as context, tools, MCP, sandboxing, AI evaluation, and governance.
- Experience building, integrating, and orchestrating AI agents, with the ability to critically assess their practical value.
- Hands-on development experience with Python and/or TypeScript, CI/CD, Git, and cloud environments such as Azure and/or AWS.
- Experience building reusable, maintainable platform capabilities with architecture, security, observability, and quality in mind.
- Ability to reason about identity, access rights, isolation, logging, and recoverability when making technical decisions.
- Ability to collaborate across teams and explain complex technical topics to development teams.
Responsibilities
- Manage and enable AI tools for the software development lifecycle, including GitHub Copilot and Claude Code.
- Develop workload isolation and security guardrails for responsible agentic software engineering.
- Build AI-SDLC metrics and dashboards.
- Develop agentic platform capabilities, including skills, MCP servers, integrations, and approval gates.
- Provide coding agents with appropriate context and permissions while keeping developers in control.
- Build agentic applications to automate and orchestrate platform engineering work.
- Support DevOps teams with AI adoption, pilots, tooling, and use-case discovery.
- Develop an AI-SDLC governance platform with a plugin marketplace, governance controls, agent evaluations, and observability.
Skills
AWSAzureGitGitHubPythonTypeScriptGitHub ActionsOpenTelemetry
Work schedule
36-hour workweek
Industry
ITSustainable mobility
Security clearance
Background screening, including a Certificate of Conduct (VOG)
Relocation
No