Senior Engineer - AI Delivery

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Senior Engineer - AI Delivery Date: 29 Sept 2026 Custom Field 1: 476244 Location: Riyadh, SA Facility: AI Engineering Job Description OVERVIEW Job Title Senior Engineer Job Code 476244 Grade I2 Group - Division Research & AI Department Applied Research Unit Delivery ROLE PURPOSE The aim is to state the overall significance of the job from the organization’s perspective. The role exists to support the transition of AI solutions from research and development into production by deploying and integrating AI models, monitoring their performance, and optimizing the required resources to ensure reliability, scalability, and operational efficiency. The role collaborates with Engineering, Evaluation, Infrastructure, and ODC teams to deliver secure, stable, and policy-compliant AI solutions. KEY ACCOUNTABILITIES & ACTIVITIES This section describes the principal outputs required from the job. Key Accountabilities Key Activities AI Model Deployment & Operations Deploy ML and LLM models into production environments using containers and/or cloud services in line with approved technical requirements. Configure deployment parameters, autoscaling, and runtime settings to support stable and scalable AI services. Monitor production deployments and support resolution of operational issues affecting model availability and performance. AI Performance & Resource Optimization Monitor and optimize AI model performance, latency, error rates, resource utilization, and associated infrastructure costs. Implement appropriate optimization techniques such as caching, pruning, quantization, resource quotas, and cost tuning. Configure dashboards and alerts to provide visibility into model health, resource consumption, and output quality. AI Solution Engineering & Integration Develop AI solutions based on models and capabilities produced by GenAI and research teams. Build service layers and APIs around AI models and package solutions for deployment using appropriate engineering frameworks. Integrate AI solutions with required data sources, identity services, logging capabilities, and enterprise systems in line with Elm standards. Model Lifecycle & Release Management Support model lifecycle management through model registries, versioning, controlled releases, and safe rollback mechanisms. Develop and maintain unit and integration tests to support reliable solution releases. Establish and maintain CI/CD pipelines to automate testing, deployment, and release activities for AI solutions. AI Evaluation & Validation Conduct automated and human-in-the-loop assessments to evaluate AI model accuracy, reliability, and output quality against agreed metrics. Monitor data and concept drift and support identification of model retraining or improvement requirements. Prepare evaluation results highlighting identified risks, limitations, performance gaps, and recommended actions. AI Infrastructure & Production Readiness Coordinate with infrastructure teams to provision required GPU/CPU, storage, networking, and cloud resources for AI workloads. Support the setup and integration of enabling technologies such as vector databases, feature stores, and model or prompt registries. Support backup, recovery, resilience, and production-readiness requirements for deployed AI solutions. Technical Delivery & ODC Collaboration Coordinate with ODC teams on development, testing, and technical delivery activities in accordance with agreed delivery and quality requirements. Review code, technical artifacts, and deliverables received from ODC teams to verify alignment with Elm’s technical and security standards. Support consistent engineering practices, templates, and technical documentation across delivery teams and centers. Technical Documentation & Knowledge Transfer Develop and maintain technical documentation, deployment guides, runbooks, configurations, and operational procedures for AI solutions. Document solution architecture, dependencies, configurations, and known operational c

AI Model Deployment & Operations; AI Performance & Resource Optimization; AI Solution Engineering & Integration; Model Lifecycle & Release Management; AI Evaluation & Validation; AI Infrastructure & Production Readiness; Technical Delivery & ODC Collaboration; Technical Documentation & Knowledge Transfer