Request
(MP) ATOS Nederland BV
Senior Cloud Engineer AI (POSMAN_123044)
Senior Cloud Engineer, AI (POSMAN_123044)
Info
Function
Senior Cloud Engineer, AI (POSMAN_123044)Location
AmstelveenHours per week
40 hours per weekDuration
May 11, 2026 - May 10, 2027Application number
SRQ177863Segment
ICT | (Atos) Infra & NetworksClosing date
29.04.2026
12:00
Role description and task arrangements
This is a temp-to-perm position (detavast): After 12 months, you will be offered a permanent position at no cost.
Self-employed: No
Employment: Full-time
Level: Senior
START IMMEDIATELY (ASAP)
From mission-critical environments to sovereign cloud, cybersecurity, and AI-driven services, we meet clients where they are and help them reach their goals.
Our technologies are seamless, secure, and built with sustainability at their core. With innovation and intelligence embedded in everything we do, we help our clients, our people, and society move forward with confidence in a world that never stops.
The offering includes a compliantPlatform-as-a-Servicecombined with specialized AI capabilities such as enterprise search,retrieval-augmentedgeneration, governed inference, and agentic workflow management. It enables organizations to innovate with AI without relying on hyperscalers, reducing vendorlock-inand strengthening strategic autonomy. Overall, Atos Sovereign AI empowers critical sectors to embed AI deeply and safely into core business operations.
As a valued member of the Atos Sovereign AI team in the Cloud & Modern Infrastructure Department, you will collaborate with the Product Owner, AI Infrastructure Architects, and Sovereign Cloud Engineering teams to expand the Sovereign Cloud with our AI Platform. You will join a Scrum team that operates with a high degree of autonomy and is committed to balancing time-to-market, feature development, and operations.
Self-employed: No
Job Opening: Senior Cloud Engineer AI (Sovereign Lifecycle & Delivery)
Location: HybridEmployment: Full-time
Level: Senior
START IMMEDIATELY (ASAP)
About Atos
At Atos, we harness intelligence to help shape a responsible, secure, and AI-powered digital future. By combining human, collective, and artificial intelligence, we drive transformation—with speed, relevance, and impact.From mission-critical environments to sovereign cloud, cybersecurity, and AI-driven services, we meet clients where they are and help them reach their goals.
Our technologies are seamless, secure, and built with sustainability at their core. With innovation and intelligence embedded in everything we do, we help our clients, our people, and society move forward with confidence in a world that never stops.
Atos Sovereign AI
Atos Sovereign AI is aself-containedAI ecosystem designed to provide organizations with full operational independence and resilience in environments where data protection, compliance, and control are critical. It offers a platform built on strict sovereignty principles, ensuring full autonomy and operational control across the entire AI stack.The offering includes a compliantPlatform-as-a-Servicecombined with specialized AI capabilities such as enterprise search,retrieval-augmentedgeneration, governed inference, and agentic workflow management. It enables organizations to innovate with AI without relying on hyperscalers, reducing vendorlock-inand strengthening strategic autonomy. Overall, Atos Sovereign AI empowers critical sectors to embed AI deeply and safely into core business operations.
Senior Cloud Engineer, AI (Sovereign Lifecycle & Delivery)
Role Summary
The Senior AI Cloud Engineer ensures that all AI tools in the managed service are production-ready, observable, and governed. This role establishes the full lifecycle management process for tools and the necessary infrastructure within a sovereign environment.As a valued member of the Atos Sovereign AI team in the Cloud & Modern Infrastructure Department, you will collaborate with the Product Owner, AI Infrastructure Architects, and Sovereign Cloud Engineering teams to expand the Sovereign Cloud with our AI Platform. You will join a Scrum team that operates with a high degree of autonomy and is committed to 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 rollouts and staged deployments with regulatory-grade auditability.
- Standardize interfaces between data pipelines, model registries, inference runtimes, and agent-based workflows.
Governance, Compliance, and Auditability
- Implement controls for model lineage, provenance, versioning, and reproducibility.
- Manage an approved model catalog, including review workflows, validation checkpoints, and compliance checks.
- Ensure that audit trails are maintained 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, runtime stability, and capacity planning for AI workloads.
- Implement cost control mechanisms, quota management, and resource governance.
Operational Excellence
- Maintain comprehensive runbooks, operational guidelines, and monitoring dashboards for the AI platform.
- Work with your team to ensure secure and efficient operational environments.
- Collaborate with AI Engineering on deployment patterns, agent behavior monitoring, and RAG workflow stability.
Experience & Skills
- Strong background in ML Ops, 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 the production deployment and operations of AI systems.
Company data
Company data
(MP) ATOS Netherlands BV
Role description and task arrangements
This is a temp-to-perm position (detavast): After 12 months, you will be offered a permanent position at no cost.
Self-employed: No
Employment: Full-time
Level: Senior
START IMMEDIATELY (ASAP)
From mission-critical environments to sovereign cloud, cybersecurity, and AI-driven services, we meet clients where they are and help them reach their goals.
Our technologies are seamless, secure, and built with sustainability at their core. With innovation and intelligence embedded in everything we do, we help our clients, our people, and society move forward with confidence in a world that never stops.
The offering includes a compliantPlatform-as-a-Servicecombined with specialized AI capabilities such as enterprise search,retrieval-augmentedgeneration, governed inference, and agentic workflow management. It enables organizations to innovate with AI without relying on hyperscalers, reducing vendorlock-inand strengthening strategic autonomy. Overall, Atos Sovereign AI empowers critical sectors to embed AI deeply and safely into core business operations.
As a valued member of the Atos Sovereign AI team in the Cloud & Modern Infrastructure Department, you will collaborate with the Product Owner, AI Infrastructure Architects, and Sovereign Cloud Engineering teams to expand the Sovereign Cloud with our AI Platform. You will join a Scrum team that operates with a high degree of autonomy and is committed to balancing time-to-market, feature development, and operations.
Self-employed: No
Job Opening: Senior Cloud Engineer AI (Sovereign Lifecycle & Delivery)
Location: HybridEmployment: Full-time
Level: Senior
START IMMEDIATELY (ASAP)
About Atos
At Atos, we harness intelligence to help shape a responsible, secure, and AI-powered digital future. By combining human, collective, and artificial intelligence, we drive transformation—with speed, relevance, and impact.From mission-critical environments to sovereign cloud, cybersecurity, and AI-driven services, we meet clients where they are and help them reach their goals.
Our technologies are seamless, secure, and built with sustainability at their core. With innovation and intelligence embedded in everything we do, we help our clients, our people, and society move forward with confidence in a world that never stops.
Atos Sovereign AI
Atos Sovereign AI is aself-containedAI ecosystem designed to provide organizations with full operational independence and resilience in environments where data protection, compliance, and control are critical. It offers a platform built on strict sovereignty principles, ensuring full autonomy and operational control across the entire AI stack.The offering includes a compliantPlatform-as-a-Servicecombined with specialized AI capabilities such as enterprise search,retrieval-augmentedgeneration, governed inference, and agentic workflow management. It enables organizations to innovate with AI without relying on hyperscalers, reducing vendorlock-inand strengthening strategic autonomy. Overall, Atos Sovereign AI empowers critical sectors to embed AI deeply and safely into core business operations.
Senior Cloud Engineer, AI (Sovereign Lifecycle & Delivery)
Role Summary
The Senior AI Cloud Engineer ensures that all AI tools in the managed service are production-ready, observable, and governed. This role establishes the full lifecycle management process for tools and the necessary infrastructure within a sovereign environment.As a valued member of the Atos Sovereign AI team in the Cloud & Modern Infrastructure Department, you will collaborate with the Product Owner, AI Infrastructure Architects, and Sovereign Cloud Engineering teams to expand the Sovereign Cloud with our AI Platform. You will join a Scrum team that operates with a high degree of autonomy and is committed to 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 rollouts and staged deployments with regulatory-grade auditability.
- Standardize interfaces between data pipelines, model registries, inference runtimes, and agent-based workflows.
Governance, Compliance, and Auditability
- Implement controls for model lineage, provenance, versioning, and reproducibility.
- Manage an approved model catalog, including review workflows, validation checkpoints, and compliance checks.
- Ensure that audit trails are maintained 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, runtime stability, and capacity planning for AI workloads.
- Implement cost control mechanisms, quota management, and resource governance.
Operational Excellence
- Maintain comprehensive runbooks, operational guidelines, and monitoring dashboards for the AI platform.
- Work with your team to ensure secure and efficient operational environments.
- Collaborate with AI Engineering on deployment patterns, agent behavior monitoring, and RAG workflow stability.
Experience & Skills
- Strong background in ML Ops, 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 the production deployment and operations of AI systems.
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