Job Description
Al 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.
Responsibilities
- Design 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.
Qualifications
EDUCATION & 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.
Experience
- 5–8 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.
