AI Evangelist

Location: Blackfriars, London (Onsite, 5 days per week)
Contract: Inside IR35
Rate: 800 per day
Duration: 12 months

We are seeking an AI Evangelist with strong financial services experience to lead the adoption and integration of advanced AI solutions across banking, trading, and insurance environments. This role combines technical leadership, strategic advisory, and thought leadership to deliver AI-driven transformation in highly regulated, mission-critical settings.

• Financial AI Solutions: Design and implement AI-powered applications for investment banking, trading platforms, and insurance workflows.
• Business Translation: Convert complex AI concepts into actionable insights for technical teams and senior executives in financial contexts.
• Enablement & Training: Deliver workshops and training sessions focused on AI adoption within banking and insurance operations.
• Thought Leadership: Produce technical blogs, white papers, and internal documentation showcasing AI's impact on financial innovation.
• Strategic Advisory: Advise C-level executives and heads of engineering/architecture on AI strategy aligned with financial regulations.
• Industry Engagement: Represent the organization at finance-focused conferences and forums to promote responsible AI adoption.
• Compliance Alignment: Ensure all AI solutions meet strict regulatory, risk, and ethical standards in financial services.
• Prototyping & Deployment: Build and deploy AI models for market forecasting, risk analytics, automated underwriting, and AML detection.

• Architect and implement agent-based AI systems and generative code workflows for financial applications.
• Oversee design reviews and code quality for AI-assisted development, maintaining best practices in Python and other languages.
• Establish robust testing and validation frameworks for AI-generated code, including prompt engineering and compliance checks.
• Mentor engineering teams and set standards for mixed human/AI development environments.
• Collaborate with DevOps, security, and product teams to accelerate safe adoption of AI-driven features.

• Degree in Computer Science, Data Science, Finance, or related discipline.
• Proven experience in financial services or fintech-ideally within investment banking, trading, or insurance.
• Strong programming skills in Python, plus experience with languages such as Java, C++, or Go.
• Familiarity with modern UI frameworks (TypeScript, Node.js).
• Hands-on experience with AI/ML frameworks (TensorFlow, PyTorch) applied to financial datasets.
• Minimum 4 years in AI-focused roles within finance or technical consulting, with exposure to regulatory compliance.
• Deep understanding of AI ethics, governance, and data privacy in regulated environments.
• Exceptional communication and stakeholder engagement skills.

• Expertise in prompt engineering, context management, and fine-tuning techniques (LoRA/QLoRA).
• Experience building RAG pipelines and agentic workflows for enterprise financial applications.
• Knowledge of vector databases (FAISS, Pinecone, Weaviate) and graph technologies (Neo4j).
• Familiarity with observability tools and AI evaluation frameworks.
• Strong grasp of containerization and cloud deployment (Docker, AWS, Azure).

• GitHub Copilot, ChatGPT/GPT-4, Claude for AI-assisted development.
• LangChain, LlamaIndex for RAG implementations.
• SonarQube for code security and quality assurance.
• Jira with AI plugins for agile delivery.
• Monitoring tools like Datadog and Dynatrace for production reliability.

Ideal Candidate Traits

• Analytical and innovative mindset with a passion for AI-driven transformation in finance.
• Skilled communicator who can bridge technical and business perspectives.
• Advocate for ethical AI practices and secure deployment in mission-critical financial environments.