Principal AI Engineer Optimisation Intelligence and Agent Orchestration

About the role

Role scope and responsibilities

• Own technical direction for AI-augmented optimisation and agentic decision systems across Network Design and operational execution.
• Guide planning problem framing and AI improvements to search, candidate generation, structural recommendations, and decision quality.
• Connect AI systems with heuristics, solver layers, optimisation services, and enterprise workflows.
• Set standards for experimentation, evaluation, and translating methods into measurable value for planners and decision-makers.
• Lead optimisation intelligence for network design, routing, vessel deployment, cargo flow, and operational decisioning.
• Guide specialists building optimisation models, analytical components, and AI capabilities within a coherent AI-plus-OR architecture.
• Compare alternative methods through structured experimentation and validate model behaviour, performance, robustness, and scalability.
• Use agentic AI for reasoning, orchestration, exception handling, and human-in-the-loop decision support.
• Shape the innovation roadmap; improve modelling practice, technical quality, experimentation discipline, and architectural judgement.
• Communicate assumptions, trade-offs, and limitations to senior stakeholders and decision-makers.

Required qualifications

• Advanced degree in engineering, mathematics, computer science, operations research, or another quantitative field.
• Significant experience leading applied AI, decision intelligence, optimisation, or analytical platform work in complex operational domains.
• Strong understanding of optimisation methods; examples include heuristics, search, mathematical programming, decomposition, or hybrid AI plus OR.
• The strongest profile combines agentic AI systems and human-in-the-loop workflows with optimisation expertise.
• Comfort directing teams working on modelling, experimentation, performance improvement, and production implementation.