Description
The Department of Finance in Dubai seeks a visionary Manager of AI Engineering to lead our transformation through cutting-edge artificial intelligence. You will own the end-to-end AI engineering strategy, spearheading the delivery of LLM-powered platforms, generative AI solutions, and sophisticated RAG pipelines. This pivotal role is responsible for enhancing fiscal transparency and driving unprecedented operational efficiency across the department. You will direct a high-performing, cross-functional team, translating complex technical concepts into strategic assets. The ideal candidate will architect and deploy robust, cloud-native AI systems on Azure, ensuring they are scalable, secure, and compliant with stringent regulatory standards. Your leadership will be crucial in fostering a culture of innovation and experimentation. You will be responsible for setting the technical vision, managing its execution, and presenting strategic outcomes to executive leadership, directly influencing the financial technology landscape of Dubai.
Requirements
1. 10–15 years of progressive experience in program or engineering leadership roles.
2. A minimum of 4 years in a leadership capacity within AI and data science.
3. Demonstrated hands-on experience delivering large-scale generative AI and conversational AI platforms.
4. Strong full-stack development skills, with proficiency in Python, Node.js, or TypeScript.
5. Expertise in designing and implementing cloud-native architectures, preferably on Microsoft Azure.
6. Proven ability to build and manage robust ML-Ops pipelines for continuous integration, delivery, and monitoring.
7. Deep understanding and practical application of prompt orchestration, LLM fine-tuning, and vector databases (e.g., Pinecone, Chroma, Azure Cognitive Search).
8. Experience delivering technology solutions within a highly regulated environment.
Desirable
1. A strong background in the finance or FinTech sectors.
2. Experience working in the Middle East financial technology landscape.
3. A portfolio of patents or publications in AI, machine learning, or related fields.
4. Advanced knowledge of experimentation methodologies, including A/B testing and Bayesian methods.
5. Proven track record of presenting complex technical strategies to C-level executives.