Senior Engineer AI Delivery

About the Role

Elm Company is seeking a Senior Engineer AI Delivery to join their team in Riyadh. This full-time role focuses on transitioning AI solutions from research and development into production environments. The position involves deploying and integrating AI models, monitoring their performance, and optimizing resources to ensure reliability, scalability, and operational efficiency. The Senior Engineer AI Delivery will collaborate with Engineering, Evaluation, Infrastructure, and ODC teams to deliver secure, stable, and policy-compliant AI solutions.

Key Responsibilities

• Deploy ML and LLM models into production environments using containers and/or cloud services, adhering to approved technical requirements.
• Configure deployment parameters, autoscaling, and runtime settings to support stable and scalable AI services.
• Monitor production deployments and assist in resolving operational issues affecting model availability and performance.
• Monitor and optimize AI model performance, latency, error rates, resource utilization, and associated infrastructure costs.
• Implement 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.
• 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.
• 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.
• 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.
• 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.
• 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.
• Develop and maintain technical documentation, deployment guides, runbooks, configurations, and operational procedures for AI solutions.
• Document solution architecture, dependencies, configurations, and known operational considerations to support maintainability and continuity.
• Support knowledge transfer to relevant engineering, infrastructure, and operational teams to enable effective solution support.

Compliance and Security

• Follow all relevant departmental policies, processes, standard operating procedures, and instructions to ensure controlled and consistent work execution.
• Comply with all relevant safety, quality, and environmental management policies, procedures, and controls to maintain a healthy and safe work environment.
• Adhere to all relevant information security practices and standards to ensure data integrity and confidentiality.

Experience and Qualifications

Candidates should possess 2-5 years of relevant experience in AI solution delivery and operations.