Lead of Agentic AI

MAIN DUTIES AND RESPONSIBILITIES:

Lead, guide, and manage day-to-day activities of Agentic AI Engineers and Specialists, ensuring delivery quality, team alignment, and technical excellence.

Translate the AI strategy and roadmap defined by the Head of AI-COE (CBS) into actionable project plans, technical designs, and delivery milestones.

Provide technical leadership and hands-on guidance in the design, development, and deployment of AI agents, copilots, multi-agent systems, and intelligent automation workflows.

Review and approve AI solution architectures, code quality, prompt engineering standards, and integration patterns to ensure scalability and maintainability.

Mentor and upskill team members in LLMs, Agentic AI frameworks, RAG architectures, API integration, and modern AI tooling.

Manage sprint planning, task allocation, progress tracking, and delivery reporting for AI engineering projects within the team.

Collaborate with business stakeholders, product owners, and technical teams to gather requirements, validate solutions, and drive adoption of AI capabilities.

Coordinate with the Head of AI on resource planning, risk escalation, AI governance compliance, and strategic prioritisation.

Drive rapid prototyping, proof-of-concept (POC) initiatives, and innovation experiments, ensuring findings are structured and actionable.

Monitor AI system performance, reliability, and operational effectiveness; lead continuous improvement efforts and post-deployment optimisations.

Contribute to the development of reusable AI modules, automation frameworks, documentation standards, and knowledge-sharing practices across the team.

Support the Head of AI-COE (CBS) in evaluating emerging AI technologies and identifying opportunities for enterprise-wide adoption.

REQUIREMENTS

Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, Information Systems, Software Engineering, or a related field. A Master’s degree is advantageous.

Preference given to candidates with certifications or specialisation in:

o Artificial Intelligence & Machine Learning

o Cloud Platforms & Architecture

o Enterprise Architecture

o AI Governance & Responsible AI

o Agile / Project Management (e.g. Scrum Master, PMP)

5–9 years’ experience in AI/ML engineering, software engineering, or related digital technology roles, with at least 2–3 years in a technical lead or team lead capacity.

Proven hands-on experience building LLM-based applications, AI agents, or automation workflows. Experience leading small-to-medium engineering teams in a fast-paced or agile delivery environment. Background in enterprise or multinational organisations is an advantage.