AI Platform Engineer

Il y a 3 heures

Brussels, Belgique Huxley Temps plein
h3Build the platform that powers the next generation of AI solutions /h3pOur client is a leading organization undergoing a large-scale digital and AI transformation. With ambitious plans to accelerate the adoption of Artificial Intelligence across the business, they are investing in a modern cloud-native platform that enables the secure, scalable, and efficient deployment of AI-powered solutions. /ppTo support this journey, we are looking for a bSenior AI Platform Engineer /b who will play a key role in designing, building, and operating the infrastructure and platform capabilities that will enable AI teams to innovate at scale. /ppIf you're passionate about cloud technologies, platform engineering, automation, and emerging AI ecosystems, this is an opportunity to have a direct impact on the future of enterprise AI. /ph3Your Role /h3pAs a Senior AI Platform Engineer, you will be responsible for building and maintaining the technical foundation that supports AI and Generative AI initiatives across the organization. /ppYou will work closely with architects, security teams, software engineers, data professionals, and AI specialists to ensure that the platform is scalable, secure, reliable, and aligned with enterprise standards. /ppThis is a hands-on engineering role with significant influence over architecture decisions, technology standards, operational excellence, and platform strategy. /ph3Key Responsibilities /h3h3Platform Engineering Cloud Infrastructure /h3ulliDesign, implement, and operate cloud-native platform services supporting AI workloads. /liliBuild and maintain scalable Kubernetes environments. /liliManage infrastructure using Infrastructure-as-Code practices. /liliImprove platform reliability, resilience, performance, and scalability. /liliEnsure platform availability through monitoring, automation, and operational best practices. /li /ulh3Automation DevOps /h3ulliDevelop and maintain CI/CD pipelines for platform and application deployments. /liliAutomate infrastructure provisioning and operational processes. /liliEnable self-service capabilities for engineering and AI teams. /liliPromote DevOps practices and engineering excellence across teams. /li /ulh3Security Governance /h3ulliImplement secure-by-design principles across the platform. /liliManage identity, authentication, authorization, and access control mechanisms. /liliCollaborate with cybersecurity teams to ensure compliance with internal and regulatory standards. /liliContribute to governance frameworks, operational controls, and platform policies. /li /ulh3AI Enablement /h3ulliProvide the infrastructure and platform capabilities required for AI and Generative AI use cases. /liliPartner with AI and data teams to support model deployment and operationalisation. /liliEvaluate and integrate emerging AI ecosystem technologies where appropriate. /liliHelp establish standards and best practices for AI platform operations. /li /ulh3Monitoring Operations /h3ulliImplement observability, monitoring, logging, and alerting solutions. /liliTroubleshoot complex infrastructure and platform issues. /liliContinuously optimise platform performance, cost efficiency, and user experience. /liliParticipate in platform lifecycle management and continuous improvement initiatives. /li /ulh3What We’re Looking For /h3ulliBachelor’s or Master’s degree in Computer Science, Engineering, Information Technology, or equivalent practical experience. /liliStrong experience in Platform Engineering, DevOps, Site Reliability Engineering (SRE), or Cloud Infrastructure roles. /liliProven experience operating cloud platforms in enterprise environments. /liliStrong hands-on experience with AWS. /liliSolid experience managing Kubernetes environments in production. /liliExperience implementing Infrastructure-as-Code solutions using Terraform. /liliExperience building and maintaining CI/CD pipelines. /liliGood understanding of cloud networking, security, and infrastructure architecture. /liliExperience with container technologies such as Docker. /liliScripting and automation experience using Python, Bash, or similar technologies. /liliStrong troubleshooting, analytical, and problem-solving skills. /liliAbility to communicate effectively with both technical and non-technical stakeholders. /li /ul