Senior Cloud Engineer AI (POSMAN)

Functieomschrijving

Vacancy

Position: Senior Cloud Engineer AI (Sovereign Lifecycle & Delivery)

Location: Hybride

Employment: Fulltime

Level: Senior

Role Summary

You will ensure that all AI tools in the managed service are production-ready, observable, and governed. You will create the full lifecycle management processes for tools and the required infrastructure within a sovereign environment. You will work with the PO, AI Infrastructure Architects and Sovereign Cloud Engineering teams as part of a scrum team balancing time-to-market, feature development and operations.

Key Responsibilities

• ML Lifecycle & Automation
  • Build CI/CD/CT pipelines for model deployment, data ingestion, embedding generation, and version management.
  • Automate rollout and staged deployments with regulatory-grade auditability.
  • Standardize interfaces between data pipelines, model registries, inference runtimes, and agentic workflows.
• Governance, Compliance & Auditability
  • Implement model lineage, provenance, versioning, and reproducibility controls.
  • Manage an approved model catalogue, including review workflows, validation checkpoints, and compliance checks.
  • Ensure audit trails exist across data pipelines, inference endpoints, and autonomous agent actions.
• Reliability & Observability
  • Build production-grade monitoring, alerting, logging, and analytics across all AI service layers.
  • Ensure high availability, performance tuning, run-time stability, and capacity planning for AI workloads.
  • Implement cost control mechanisms, quota management, and resource governance.
• Operational Excellence
  • Maintain robust runbooks, operational guidelines, and monitoring dashboards for the AI platform.
  • Collaborate with the team to ensure secure and efficient operational environments.
  • Work with AI Engineering on deployment patterns, agent behavior monitoring, and RAG workflow stability.

Experience & Skills

• Strong background in MLOps, DevOps, or data engineering in secure or regulated environments.
• Experience with model registries, observability tools, infrastructure-as-code, and automation.
• Understanding of ML governance, model lifecycle patterns, and production delivery and operations of AI systems.

Eisen

Gunningscriteria

• Het is een pre als je een sterke achtergrond hebt in ML Ops, DevOps, of
  data engineering in veilige of gereguleerde omgevingen
• Ervaring met modelregistraties, observability tools,
  infrastructure-as-code, en automatisering is een pre
• Bij voorkeur begrip van ML governance, model lifecycle patronen, en
  productie levering en operatie van AI systemen

Je sollicitatie dient uiterlijk 29 april 2026 om 10:00 uur door ons te zijn ingediend, voorzien van een motivatie (waarin wordt toegelicht hoe aan de eisen en gunningscriteria wordt voldaan) en twee referenties. Wij ontvangen je gegevens graag minimaal één werkdag vóór de sluitingsdatum.