Digital Archive AI Engineer
Client of United Nation careers
Employer Active
Posted on 2 Apr
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Experience
5 - 7 Years
Education
Bachelor of Science(Computers), Master of Science(Computers)
Nationality
Any Nationality
Gender
Not Mentioned
Vacancy
1 Vacancy
Job Description
Roles & Responsibilities
Specific Outputs/Tasks include but not limited to: Lead the project s AI implementation of the Digital Archive System built in Power Apps, Power Automate, Azure Cognitive services, Azure AI search, Document Intelligence, MS SQL & .Net
Review, train and improve AI results of the product
Implement LLMs suitable for specific use cases in document classification, document processing, data extraction, Arabic texts, handwritten texts and data mapping
Improve reinforced learning in chosen LLMs to improve AI accuracy
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 cross functional 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 across teams.
Desired Candidate Profile
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.
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, ensuring alignment with product goals and technical standards.
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.
Strong analytical, communication, and stakeholder management skills.
Company Industry
- NGO
- Social Services
- Community Services
- Non-Profit
Department / Functional Area
- IT Software
Keywords
- Digital Archive AI Engineer
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Client of United Nation careers
https://careers.un.org/jobSearchDescription/275026?language=en