About ArcelorMittal Global Solutions AI Team
The AMGS AI Team is a transversal Artificial Intelligence capability enabling business divisions to create measurable value through responsible, production-grade AI and data solutions. We support the full lifecycle of AI initiatives across Finance, HR, Supply Chain, Logistics, Manufacturing, and Operations, while owning technical delivery, quality, and risk controls.
Our portfolio includes document automation, forecasting, optimization, computer vision, predictive maintenance, AI-powered assistants, and GenAI-driven enterprise applications.
Role Summary
As a Senior Cloud Engineer , you will design, build, and operate cloud platforms and solutions that host AI, data, and enterprise applications developed by the AMDS AI Team.
In the initial phase, you will work hands-on , primarily on Microsoft Azure , designing and implementing cloud architectures, environments, and DevOps pipelines yourself. As the team grows, you will progressively lead and mentor other cloud engineers , oversee their work, and ensure a consistently high standard of quality, security, and reliability across all cloud solutions.
While Azure will be the primary platform, you are expected to expand into AWS over time as AMGS AI solutions evolve.
Key Responsibilities
Hands-on Cloud Engineering (Initial Phase)
- Design and implement cloud architectures on Azure for AI, data, and software solutions
- Build and operate cloud environments supporting production workloads
- Implement infrastructure as code (IaC) and CI / CD pipelines
- Ensure security, scalability, reliability, and cost efficiency of cloud solutions
- Support deployment and operation of applications, data pipelines, and AI systems
DevOps & Platform Enablement
Establish and maintain DevOps practices, tooling, and standardsSupport software developers and data scientists with cloud environments and deployment pipelinesTroubleshoot infrastructure, deployment, and runtime issuesContribute to operational excellence, monitoring, and incident managementTechnical Leadership (As Team Grows)
Guide and mentor other cloud engineersReview infrastructure and DevOps implementationsDefine and enforce cloud architecture and engineering standardsOversee technical quality, maintainability, and security of cloud platformsCross-Functional Collaboration
Work closely with software developers, data scientists, and AI engineersAlign cloud designs with application, data, and AI requirementsSupport planning, estimation, and technical decision-makingRequired Skills & Experience
Cloud & DevOps Skills
Strong experience designing and operating cloud solutions, primarily on Microsoft AzureExperience with core cloud services (compute, storage, networking, identity, security)Solid DevOps knowledge including CI / CD, automation, and infrastructure as codeExperience supporting production workloads in cloud environmentsUnderstanding of cost management and cloud optimization principlesTechnical Leadership & Ownership
Ability to work independently and own cloud solutions end-to-endExperience mentoring or guiding other engineers (formal or informal)Strong sense of accountability for platform reliability and qualityComfortable making architectural and operational trade-offsProfessional Experience
Proven experience as a Cloud Engineer in production environmentsExperience working with cross-functional teams (software, data, AI)Experience in complex or enterprise environmentsNice to Have
Experience with AWS or willingness to grow into AWS-based solutionsExposure to MLOps practices and toolingExperience supporting AI or data platformsFamiliarity with security, compliance, and governance in enterprise cloud setupsWhat We Look For in This Role
A hands-on cloud engineer who enjoys building and operating real platformsA future technical leader who can scale cloud practices and teamsSomeone who balances pragmatism with long-term reliability and securityA strong collaborator who enables developers and data scientists to succeedWhat This Role Is Not
A purely managerial roleA hands-off architect positionA narrow DevOps-only role without platform ownershipIf you enjoy building and owning cloud platforms , supporting AI and data teams, and growing into a technical leadership role, this position offers the opportunity to shape how AMGS AI delivers solutions at scale.