What is an AI Engineer at Tiger Analytics?
At Tiger Analytics, an AI Engineer plays a pivotal role in bridging the gap between advanced machine learning research and enterprise-scale software engineering. As a premier AI and analytics consulting firm, Tiger Analytics designs, builds, and deploys sophisticated AI systems that solve complex, high-impact business challenges for Fortune 500 clients. The AI Engineer is not just a model builder; they are a systems architect who ensures that AI models are robust, scalable, and seamlessly integrated into production environments.
This role has a direct impact on client success, driving strategic decisions and automated operations across industries like financial services, healthcare, retail, and logistics. You will work on cutting-edge technologies, including Generative AI, Retrieval-Augmented Generation (RAG) architectures, and Agentic AI systems. Because Tiger Analytics operates as a consultancy, your solutions must be highly adaptable, performant, and ready to withstand real-world production demands.
To succeed in this position, you must possess a deep understanding of modern deep learning frameworks, software engineering best practices, and cloud infrastructure. You will collaborate closely with data scientists, data engineers, and business stakeholders to translate abstract business requirements into concrete, deployable AI pipelines. It is a highly challenging yet rewarding role that offers exposure to diverse problem spaces and the opportunity to work with some of the best minds in the industry.


