Manager of AI Engineering
Finance
Abu Dhabi, UAE
Onsite
Full-time
Senior
Posted Jun 2, 2026
About the role
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
- 10–15 years of progressive experience in program or engineering leadership roles.
- A minimum of 4 years in a leadership capacity within AI and data science.
- Demonstrated hands-on experience delivering large-scale generative AI and conversational AI platforms.
- Strong full-stack development skills, with proficiency in Python, Node.js, or TypeScript.
- Expertise in designing and implementing cloud-native architectures, preferably on Microsoft Azure.
- Proven ability to build and manage robust ML-Ops pipelines for continuous integration, delivery, and monitoring.
- Deep understanding and practical application of prompt orchestration, LLM fine-tuning, and vector databases (e.g., Pinecone, Chroma, Azure Cognitive Search).
- Experience delivering technology solutions within a highly regulated environment.
Desirable skills
- A strong background in the finance or FinTech sectors.
- Experience working in the Middle East financial technology landscape.
- A portfolio of patents or publications in AI, machine learning, or related fields.
- Advanced knowledge of experimentation methodologies, including A/B testing and Bayesian methods.
- Proven track record of presenting complex technical strategies to C-level executives.
Role details
- Department
- Finance
- Location
- Abu Dhabi, UAE
- Work setup
- Onsite
- Employment type
- Full-time
- Job level
- Senior
- Industry
- Technology, Information & Media
- Sub-industry
- AI Development
- Compensation
- AED 80,000 – AED 100,000
Frequently asked questions
This confidential recruitment process is being managed by byteSpark.ai on behalf of a major public-sector finance organisation in the UAE. byteSpark.ai is not the employer for this position. Further information about the organisation, transformation programme, and leadership team will be shared with shortlisted candidates at the appropriate stage.
This is an opportunity to apply Generative AI to challenges with genuine institutional and public impact. The successful candidate will lead the development of AI platforms designed to improve fiscal transparency, accelerate financial analysis, modernise internal operations, and strengthen data-driven decision-making.
The role will lead the end-to-end delivery of enterprise LLM applications, conversational AI platforms, financial copilots, and sophisticated Retrieval-Augmented Generation pipelines. The mandate extends from technical strategy and architecture through engineering execution, deployment, monitoring, experimentation, and continuous improvement.
It requires both. The successful candidate must be capable of setting the technical vision and leading cross-functional teams while remaining credible in architecture and delivery discussions involving Python, Node.js or TypeScript, Azure, MLOps, prompt orchestration, model fine-tuning, vector databases, security, and regulatory compliance.
The strongest candidates will bring 10 to 15 years of progressive engineering or programme leadership experience, including at least 4 years leading AI and data science initiatives. Evidence of delivering large-scale GenAI platforms in regulated environments, presenting strategy to executives, and converting advanced AI capabilities into measurable operational or financial outcomes will be especially compelling.