• Proven experience applying deep technical expertise across AI, ML, LLMs, agentic AI, and applied AI engineering, driving the design, evaluation, and governance of advanced AI solutions

• Proven experience designing, evaluating and governing multi-agent systems, incorporating memory structures, tool-use orchestration, planning algorithms and autonomy controls.

• Demonstrated ability to benchmark LLM performance, evaluate model choices, run structured behavioural testing and interpret model outputs to inform safe and effective deployment.

• Strong understanding of responsible AI principles, ethical risk, regulatory expectations, and mitigation strategies, and the ability to translate them into practical safeguards.

• Strong understanding of cloud-native AI solutions and proven experience delivering solutions on Azure, AWS and Google Cloud, ensuring alignment to enterprise standards, security controls and platform guardrails.

• Demonstrated ability to engineer and optimise RAG’s, including vector database design, embedding strategies, retrieval optimisation and advanced orchestration patterns for accuracy and reliability.

• Strong understanding of data engineering, governance, lineage, data quality and privacy frameworks, ensuring AI workloads are built on compliant, high-integrity data foundations.

• Proven experience designing secure, resilient and scalable AI, embedding security-by-design, operational guardrails and platform-level controls.

• Strong ability to challenge solution designs, model selections and vendor proposals, using evidence-based critique, benchmarking and review.

• Demonstrated ability to communicate complex AI, concepts in clear, concise terms for senior leaders, governance forums and non-technical stakeholders.

• Demonstrated ability to operate effectively in fast-changing, ambiguous technical environments, providing clear direction, informed judgement and architectural leadership.

• Proven experience mentoring uplifting AI capability and embedding repeatable best-practice patterns across teams.

• Excellent stakeholder management and communication skills, including senior-level engagement. • Commercial awareness and a value-driven mindset.

• Use of professional networks and external influencers with clear evidence of learning and development to build and maintain skills and expertise.