Senior AI Engineer

Overview

The role focuses on building, structuring, and industrialising AI solutions to support the Organisation's adoption of advanced AI capabilities and contribute to the development of internal AI capabilities.

Key Responsibilities

• Design and develop a reusable engineering framework for AI and agent-based solutions.
• Define reference architectures, reusable components, templates and standard development patterns for AI applications.
• Establish practical technical guidance and engineering standards for AI solutions.
• Evaluate relevant technologies, platforms and approaches.
• Contribute to a coherent Organisation-wide approach to AI architecture, implementation and governance.
• Identify, scope and structure high-value AI use cases.
• Analyse business requirements and existing workflows.
• Translate business needs into clear technical requirements, solution designs and implementation approaches.
• Assess potential solutions in terms of feasibility, security, cost, scalability, interoperability and operational sustainability.
• Prioritise practical and reusable approaches.
• Lead and contribute to the design, development, testing and evaluation of AI applications, services and workflows.
• Develop prototypes and proofs of concept.
• Implement AI capabilities such as retrieval-augmented generation, agent-based workflows, data pipelines and integrations.
• Select appropriate commercial, open-source or open-weight technologies.
• Work iteratively with business users and technical colleagues.
• Transform proofs of concept (PoCs) and experimental solutions into production-ready tools.
• Ensure solutions meet enterprise requirements in terms of performance, scalability, security, compliance, maintainability, supportability and financial sustainability.
• Contribute to deployment, packaging and release processes.
• Support handover to operational teams, including documentation and knowledge transfer.
• Develop reusable assets and components.
• Provide technical advice on the appropriate use of AI tools, models and engineering approaches.
• Communicate technical concepts, architectural choices, implementation considerations and responsible AI practices.
• Keep abreast of advances on emerging industry trends, related technologies, methodologies and best practices.
• Promote excellence and contribute to improving effectiveness, efficiency and division-level excellence.
• Contribute to other related tasks within EXD/DKI, as required.

Required Experience

• Significant experience designing, developing and implementing AI-enabled applications, services or enterprise solutions.
• Demonstrated ability to take AI solutions from initial concept and prototyping through to operational deployment.
• Ability to work autonomously on complex technical topics.
• Pragmatic, solution-oriented and delivery-focused approach.
• Strong problem-solving skills and adaptability in a fast-evolving field.
• Experience in international or multilateral environments is highly desirable.

Qualifications

Advanced university degree in Artificial Intelligence, Data Science, Computer Science, Economics or a related field, or equivalent practical experience.

Other Details