We are working in collaboration to source a Lead AI Engineer for a Financial Services client in London working in the office 1-2 days per week.
Your Responsibilities
Partner closely with business units and support functions to understand workflows , pain points and opportunities where AI can create measurable value.
Lead AI use cases end to end from discovery and scoping through prototyping, implementation, rollout and continuous improvement.
Design, build and adapt AI agents and AI-enabled workflows to fit real business processes, enterprise constraints and the requirements of a regulated banking environment.
Take ownership of deployed AI agents by monitoring their usage, performance and business impact and by driving ongoing optimisation in collaboration with stakeholders .
Facilitate workshops and working sessions with business teams to identify, prioritise and shape high-impact AI use cases and practical implementation paths.
Act as a bridge between business and technology by translating business requirements into technical solutions and explaining technical concepts in a clear and accessible way.
Capture learnings from deployments and feed them back into reusable patterns, improvements and scalable approaches across the organisation.
Essential Skills
Degree in computer science, engineering, data science, business informatics, innovation management, finance, economics or a related field; equivalent practical experience is also welcome.
Experience working effectively at the intersection of business and technology.
Strong understanding of business processes and stakeholder needs with the ability to build trust and work closely with internal clients and cross-functional teams.
Hands-on experience building and deploying practical technology solutions in complex enterprise environments.
Strong understanding of modern AI systems and agentic workflows including LLM integration , retrieval, tool use, context orchestration, evaluations, guardrails, observability and human-in-the-loop workflows.
Ability to analyse complex workflows, simplify ambiguity and translate business requirements into practical and responsible solutions.
Strong communication skills in English; German and additional languages relevant to client locations are an advantage.
Preferred Qualifications
Experience in private banking, wealth management or financial services , ideally in areas such as client advisory, onboarding, KYC, investment processes, operations, risk or compliance.
Familiarity with enterprise requirements related to security, governance, risk management, data privacy and regulatory expectations.
Experience with modern software development, data management, system integration, cloud technologies, and relevant AI or automation tools.
Experience supporting adoption, change and continuous improvement in complex organisational environments.
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