Senior Specialist - Artificial Intelligence & Machine Learning

Job DescriptionAl Ghurair Investment (AGI) is seeking an experienced and forward-thinking Senior Specialist – Artificial Intelligence (AI) to join our data and innovation team. The ideal candidate will have a strong background in applied AI and data science, with hands-on experience in developing, deploying, and optimizing Large Language Model (LLM)-based and Agentic AI solutions. This role is central to AGI’s AI transformation journey, enabling the design of intelligent systems, automation workflows, and generative AI capabilities that enhance decision-making and operational efficiency across the enterprise.ResponsibilitiesDesign and deliver end-to-end AI/ML solutions — from problem definition through production deployment — using LLMs, RAG, and agentic frameworks to solve business problems.Build and optimize AI pipelines for data ingestion, retrieval, and contextual reasoning at enterprise scale.Develop, fine-tune, and evaluate models for use cases like document intelligence, process automation, forecasting, churn prediction, and business reporting.Apply exploratory data analysis, statistical techniques, and ML methods (time-series, regression, tree-based models like XGBoost) to uncover insights and guide modelling decisions.Awareness of MLOps practices — model versioning, monitoring, drift detection, retraining, and CI/CD — to ensure scalable, reliable production deployments.Collaborate with data engineers, developers, platform teams, and business stakeholders to translate requirements into deployable solutions and drive measurable impact.Maintain AI architectures, workflows, and documentation while championing ethical, transparent, and fair AI aligned with governance standards.Continuously assess emerging AI trends and integrate best practices into the innovation roadmap.QualificationsEDUCATION & CERTIFICATIONS:Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or related field.Professional certifications in AI/ML or cloud-based AI solutions preferred.Additional credentials in Generative AI, Machine Learning Operations (MLOps), or Responsible AI are a plus.Experience5–8 years of professional experience in Data Science, Machine Learning, or Applied AI roles.Proven expertise in LLMs and Generative AI, including prompt engineering, contextual reasoning, and knowledge retrieval.Hands-on experience developing Agentic AI systems and RAG pipelines for real-world enterprise applications.Strong programming skills in Python and solid understanding of data preprocessing, model development, and deployment lifecycles.Experience in end-to-end AI solution delivery, from experimentation and prototyping to production deployment and monitoring.Good understanding of data engineering principles, MLOps workflows, and vector-based search methodologies.Strong problem-solving mindset with the ability to communicate complex AI concepts to non-technical stakeholders.Experience working in cross-functional, agile environments, driving measurable business outcomes through AI adoption.