Overview
This role involves designing, implementing, and integrating AI-enabled solutions to address business and operational needs, and managing the data and model lifecycle for AI systems.
Key Responsibilities
- Translate business and operational needs into AI-enabled solutions.
- Design and implement AI systems.
- Integrate AI solutions into existing platforms and workflows.
- Own the technical governance of AI capabilities.
- Prepare, clean, and structure data for AI use.
- Fine-tune, evaluate, and validate models.
- Monitor AI systems in production and improve them.
- Embed Responsible AI principles into solution design.
- Ensure compliance with GDPR, organizational data protection policies, and donor requirements.
- Contribute to AI governance, standards, and documentation.
- Work closely with non-technical stakeholders.
- Support pilots, user testing, and adoption.
- Contribute to internal guidance, best practices, and capability building around AI.
Required Experience
- 5+ years of software engineering experience, including strong hands-on work in full-stack development, enterprise platforms or AI solutions
- Experience building and deploying generative AI applications
- Knowledge of Copilot or integration of other productivity AI tools with Microsoft suite
- Strong experience with Python and AI/ML frameworks or AI APIs.
- Practical experience building and deploying AI solutions (not only experimentation).
- Experience with cloud platforms (e.g. Azure), preferably using managed AI services.
- Solid understanding of data handling, APIs, and system integration.
- Familiarity with generative AI / LLMs, prompt design, and AI evaluation.
- Understanding of privacy, security, and ethical considerations in AI.
- Experience working in NGOs, public sector, or regulated environments (desirable).
- Experience with multilingual or low-resource contexts (desirable).
- Experience supporting non-technical users in adopting digital solutions (desirable).
Qualifications
• A master’s degree in computer science, engineering, or a related field