Senior AI Engineer - Nas Neuron

Notes for Muhajirs: This is a Dubai based, forward-deployed AI engineering role with Cigna, working hands on with business teams rather than in a back office. About the role: The Senior AI Engineer develops, deploys and maintains machine learning and AI solutions that deliver measurable business value. The role works closely with business teams, senior stakeholders, analysts, IT and operations to understand real problems, shape solution options and translate them into production ready data and AI, within the architecture and standards set by the Principal ML Platform Engineer. Use cases are taken from problem definition to production, building and training models, building data pipelines and deploying reliable monitored services, covering practical machine learning, advanced analytics and generative AI including large language models. Work includes retrieval augmented generation, scalable data pipelines, deployment through Flask, FastAPI and containers, data modelling, ETL and ELT, Power BI dashboards, cloud native Snowflake and Azure, and monitoring models and pipelines in production, with compliance on data security, privacy and AI governance. Requirements: 8 or more years in machine learning engineering, data science or data engineering, with Python, SQL, Git and GitHub, OpenAI and Azure, Scikit-learn, XGBoost and LightGBM, large language model prompting and retrieval augmented generation, data movement and warehousing in the cloud, ETL and ELT, statistical regression, classification and time series, Agile and Scrum and model governance. Healthcare, insurance or third party administrator experience is preferred. A Bachelor's or Master's in Computer Science, Engineering, Mathematics or Statistics, certifications in machine learning, AI, cloud or data engineering, consulting style communication, and prior management, tech consulting or client facing experience are required. Location: Dubai, United Arab Emirates. Source: Bayt, posted 13 November 2026.