Salary: £138,600 - 138,600 per year Requirements: Proven experience applying deep technical expertise across AI, ML, LLMs, agentic AI, and applied AI engineering Experience designing, evaluating, and governing multi-agent systems Ability to benchmark LLM performance, evaluate model choices, run structured behavioral testing, and interpret model outputs Strong understanding of responsible AI principles, ethical risk, regulatory expectations, and mitigation strategies Understanding of cloud-native AI solutions with proven experience delivering on Azure, AWS, and Google Cloud Ability to engineer and optimize RAGs, including vector database design and embedding strategies Strong understanding of data engineering, governance, lineage, data quality, and privacy frameworks Experience designing secure, resilient, and scalable AI solutions with embedded security-by-design Ability to challenge solution designs, model selections, and vendor proposals using evidence-based critique Excellent communication skills for presenting complex AI concepts to senior leaders and non-technical stakeholders Ability to operate effectively in fast-changing, ambiguous technical environments Experience mentoring and embedding repeatable best-practice patterns across teams Excellent stakeholder management and senior-level engagement skills Commercial awareness and a value-driven mindset Active use of professional networks for continuous skills and expertise development Responsibilities: Drive the design, evaluation, and governance of advanced AI solutions Incorporate memory structures, tool-use orchestration, planning algorithms, and autonomy controls into multi-agent systems Evaluate model choices and run structured behavioral testing to ensure safe and effective deployment Translate responsible AI principles and regulatory expectations into practical safeguards Deliver cloud-native AI solutions aligned with enterprise standards and security controls Engineer and optimize advanced orchestration patterns for enhanced accuracy and reliability Ensure AI workloads are built on high-integrity, compliant data foundations Design secure, resilient, and scalable AI architectures with operational guardrails Challenge and critique solution designs, model selections, and vendor proposals Communicate AI concepts clearly to governance forums and non-technical stakeholders Provide architectural leadership and informed judgment in ambiguous technical environments Mentor and uplift team capabilities in AI best practices Engage effectively with stakeholders at all levels to manage expectations and drive outcomes Technologies: AI AWS Azure Cloud Embedded Support LLM Security More: We are a forward-thinking company passionate about advancing AI technology. Our team thrives on innovation, and we are dedicated to driving responsible AI practices in all our projects. Located in a dynamic environment that encourages collaboration, we offer competitive benefits and support continuous learning and professional development. Join us to be part of a team that embraces challenges and empowers each member to contribute to impactful AI solutions. last updated 14 week of 2026