Overview
This role provides expert oversight for the implementation of AI technologies within UNRWA’s digital initiatives, guiding the adoption of advanced AI solutions and directing the execution of the Digital Archives project.
Key Responsibilities
- Lead the project’s AI implementation of the Digital Archive System.
- Review, train and improve AI results of the product.
- Implement LLMs suitable for specific use cases.
- Improve reinforced learning in chosen LLMs.
- Strategic planning and AI roadmap ownership.
- Ensure product quality, security, performance, and alignment with business goals.
- Evaluate and optimize AI processing costs.
- Provide technical direction, review deliverables, and mentor development teams.
- Troubleshoot product issues, prioritize backlog items, and drive continuous improvement.
- Prepare product documentation, release notes, and stakeholder communications.
- Deliver regular progress updates and lead agile ceremonies.
Required Experience
- Minimum 5 years of experience in data science, software development, AI development or technical roles.
- Proven experience in using LLMs, Azure Foundry or similar platforms.
- Hands-on experience managing, training, finetuning, enhancing AI and integration using the right LLM models.
- Hands-on experience building AI Agents, automations and familiarity with AI workflow tools such as n8n.
- Solid understanding of Azure and AI costs awareness.
- Demonstrated ability to lead and mentor development teams.
- Experience working directly with senior leadership to shape AI strategy and roadmap.
- Solid experience in deploying and monitoring AI systems and ensuring operational efficiency.
- Solid understanding of AI security, Risk Management, Governance and ethics.
Qualifications
- Advanced university degree (Master’s degree or equivalent) in Computer Science, software engineering, Data science, AI or other related discipline.
- A relevant first-level university degree in combination with two years of qualifying experience may be accepted in lieu of the advanced university degree.
