AI Platform Engineer

h3Build the platform that powers the next generation of AI solutions /h3 pOur 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. /p pTo 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. /p pIf 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. /p h3Your Role /h3 pAs 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. /p pYou 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. /p pThis is a hands‑on engineering role with significant influence over architecture decisions, technology standards, operational excellence, and platform strategy. /p h3Key Responsibilities /h3 h3Platform Engineering Cloud Infrastructure /h3 ul liDesign, implement, and operate cloud-native platform services supporting AI workloads. /li liBuild and maintain scalable Kubernetes environments. /li liManage infrastructure using Infrastructure-as-Code practices. /li liImprove platform reliability, resilience, performance, and scalability. /li liEnsure platform availability through monitoring, automation, and operational best practices. /li /ul h3Automation DevOps /h3 ul liDevelop and maintain CI/CD pipelines for platform and application deployments. /li liAutomate infrastructure provisioning and operational processes. /li liEnable self‑service capabilities for engineering and AI teams. /li liPromote DevOps practices and engineering excellence across teams. /li /ul h3Security Governance /h3 ul liImplement secure-by-design principles across the platform. /li liManage identity, authentication, authorization, and access control mechanisms. /li liCollaborate with cybersecurity teams to ensure compliance with internal and regulatory standards. /li liContribute to governance frameworks, operational controls, and platform policies. /li /ul h3AI Enablement /h3 ul liProvide the infrastructure and platform capabilities required for AI and Generative AI use cases. /li liPartner with AI and data teams to support model deployment and operationalization. /li liEvaluate and integrate emerging AI ecosystem technologies where appropriate. /li liHelp establish standards and best practices for AI platform operations. /li /ul h3Monitoring Operations /h3 ul liImplement observability, monitoring, logging, and alerting solutions. /li liTroubleshoot complex infrastructure and platform issues. /li liContinuously optimize platform performance, cost efficiency, and user experience. /li liParticipate in platform lifecycle management and continuous improvement initiatives. /li /ul h3What We're Looking For /h3 ul liBachelor's or Master's degree in Computer Science, Engineering, Information Technology, or equivalent practical experience. /li liStrong experience in Platform Engineering, DevOps, Site Reliability Engineering (SRE), or Cloud Infrastructure roles. /li liProven experience operating cloud platforms in enterprise environments. /li liStrong hands‑on experience with AWS. /li liSolid experience managing Kubernetes environments in production. /li liExperience implementing Infrastructure-as-Code solutions using Terraform. /li liExperience building and maintaining CI/CD pipelines. /li liGood understanding of cloud networking, security, and infrastructure architecture. /li liExperience with container technologies such as Docker. /li liScripting and automation experience using Python, Bash, or similar technologies. /li liStrong troubleshooting, analytical, and problem‑solving skills. /li liAbility to communicate effectively with both technical and non-technical stakeholders. /li /ul pbTo find out more about Huxley please visit /b /p