Senior AI Engineer

Skip to content IBM < Back to search results Senior AI Engineer Waterford, Munster, Ireland Professional Email X LinkedIn Apply now Introduction At IBM Infrastructure & Technology, we design and operate the systems that keep the world running. From high-resiliency mainframes and hybrid cloud platforms to networking, automation, and site reliability. Our teams ensure the performance, security, and scalability that clients and industries depend on every day. Working in Infrastructure & Technology means tackling complex challenges with curiosity and collaboration. You’ll work with diverse technologies and colleagues worldwide to deliver resilient, future-ready solutions that power innovation. With continuous learning, career growth, and a supportive culture, IBM provides the opportunities to build expertise and shape the infrastructure that drives progress. Your role and responsibilities As a Senior AI Engineer on the IBM Z team, you will lead the exploration, design, and implementation of next-generation AI capabilities for enterprise infrastructure. This role is suited to engineers who are passionate about solving complex systems challenges, shaping technical direction and driving innovation across AI and enterprise computing platforms.You will work across hardware, firmware, systems software and AI runtime technologies to evaluate emerging approaches, develop advanced prototypes and influence the future direction of AI enablement on IBM Z platforms. Required education None Preferred education Bachelor's Degree Required technical and professional expertise AI Systems Research and InnovationLead the investigation and evaluation of emerging AI and LLM technologies relevant to enterprise infrastructure environments.Design and prototype scalable approaches for deploying and optimising LLM inference workloads on IBM Z systems and Spyre hardware accelerator technologies.Research advanced runtime architectures, memory optimisation strategies and resource orchestration techniques for large-scale AI workloads.Contribute to technical strategy and platform direction through experimentation, benchmarking, comparative analysis and proof-of-concept development.Architecture and Solution DesignDrive the architecture and technical design of AI integration frameworks, enabling enterprise applications and cloud-native services to securely and efficiently consume AI capabilities.Define scalable APIs, runtime interfaces and platform integration patterns for enterprise AI systems.Collaborate with system architects, hardware engineers and platform teams to influence long-term AI infrastructure capabilities and engineering direction.Evaluate trade-offs across performance, scalability, reliability, maintainability and operational efficiency.Performance Engineering and AnalysisLead performance investigations across AI inference workloads, hardware accelerators, runtimes and operating environments.Design benchmarking methodologies and profiling frameworks to analyse latency, throughput, memory efficiency, power consumption and system utilisation.Identify optimisation opportunities across hardware acceleration, parallel execution, batching strategies and model execution pipelines.Produce technical findings and engineering recommendations to improve enterprise AI platform capabilities.Advanced Debugging and Reliability EngineeringInvestigate and resolve complex cross-stack issues involving firmware, drivers, runtimes, orchestration layers and AI applications.Drive root cause analysis activities for performance regressions, scaling limitations and system stability challenges.Contribute to resilient system design through automation, regression analysis, fault detection and...