AI Solution Architect
2 days ago
London
AI Evangelist (Hands-On) – Financial Services We’re seeking a senior, hands-on AI Evangelist to help drive AI adoption across a major financial organization. This role blends technical expertise, architectural leadership, and the ability to communicate AI value clearly to stakeholders ranging from engineering teams to executive leadership. What You’ll Do • Build and showcase AI-driven solutions for financial use cases such as trading, risk, forecasting, or automated decisioning., • Translate advanced AI concepts into practical insights for both technical and non-technical teams., • Lead internal enablement: workshops, training sessions, and AI literacy programs., • Provide advisory guidance to senior leaders on AI strategy and emerging technologies., • Partner with compliance, risk, and technology teams to ensure solutions meet financial regulatory standards., • Prototype, validate, and deploy AI models and agentic workflows into production., • Maintain technical quality across AI-generated and human-written code, including reviews, testing, and documentation., • Mentor engineering teams and contribute to best practices for integrating generative and agent-based AI in the SDLC. Skills & Experience (Mandatory) • Degree in Computer Science, Data, Finance, or related field., • Strong hands-on expertise in Python, SQL, and modern AI/ML frameworks (TensorFlow, PyTorch)., • Experience with at least one major backend language (Java, C++, C#, Go)., • Working knowledge of Typescript/Node.js and modern UI frameworks., • Proven track record in AI/ML roles within finance, fintech, or consulting, especially in regulated environments., • Deep understanding of AI governance, ethics, guardrails, compliance, and data privacy., • Experience building or deploying LLM-powered systems, agentic workflows, and code-generation pipelines., • Strong capability in code review, automated testing, and maintaining quality across AI-assisted codebases., • Exceptional communication and stakeholder engagement abilities—comfortable presenting to leadership., • Ability to manage multiple initiatives with attention to detail and strategic alignment. Nice-to-Have Skills • Exposure to RAG frameworks, vector databases, embeddings, and graph/temporal data systems., • Familiarity with cloud-based deployment (AWS/Azure), containerization, and observability tooling., • Experience with prompt engineering, model fine-tuning, quantization, or optimization techniques., • Knowledge of multi-agent orchestration platforms, AI-enabled SDLC tools, or automated documentation pipelines., • Participation in industry forums, conferences, or AI thought-leadership initiatives., • Background applying AI to banking, investment, insurance, or other high-compliance sectors.