AI Safety & Value Consultant

AI is moving from isolated experiments to something organisations have to run at scale: more use cases, more teams, more exposure. As AI becomes embedded in business processes and decision making, the stakes grow. Most organisations aren't equipped to manage the risks that come with it, from unreliable outputs and security concerns to compliance and operational challenges, while still capturing its value. We believe successful AI adoption is not about moving fast at any cost. It's about creating value while keeping AI systems safe, trustworthy and under control. We're looking for an AI Safety & Value Consultant who can help clients unlock the benefits of AI while managing its risks. You'll help organisations identify, assess and mitigate AI risks, establish the right governance and operating models, and drive the adoption of AI at scale. From shaping strategy with leadership teams to embedding practical safeguards, you'll help clients build AI capabilities that are both valuable and trustworthy. You're not a lawyer and you're not a data scientist? Good. We want a strategy minded consultant who understands how AI impacts organisations, people and processes, and can balance innovation with safety. Your responsibilities Set up AI portfolio management - Design AI governance operating models: roles, decision rights, intake and approval flows - Build the AI lifecycle process, from intake and risk triage through deployment, monitoring and retirement - Drive the organisational change that makes it work: onboarding stakeholders, embedding ways of working, building internal capability rather than a document nobody reads - Set up inventories and registries so clients know what AI they run and how it performs - Conduct comprehensive AI risk assessments and ethical evaluations for client systems Manage risk and quality - Design AI risk management approaches that integrate the EU AI Act, NIST AI RMF and ISO/IEC 42001 into something practical for the client - Run AI risk assessments and guide individual use cases through classification, mitigation and sign-off - Pressure-test solution quality: feasibility, evaluation approach, hallucination and data-leakage risks, workflow fit and vendor overclaims - Keep clients ahead of a fast-moving regulatory and standards landscape