At a Glance
- Tasks: Lead AI integration in finance, design solutions, and deliver training sessions.
- Company: Dynamic financial services firm focused on AI innovation.
- Benefits: Competitive daily rate, onsite collaboration, and professional growth opportunities.
- Why this job: Shape the future of finance with cutting-edge AI technology and strategic influence.
- Qualifications: Degree in relevant field and strong experience in financial services and AI.
- Other info: Join a mission-critical environment with a focus on ethical AI practices.
The predicted salary is between 60000 - 84000 Β£ per year.
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.
Key Responsibilities
- 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.
Technical Leadership
- 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.
Essential Qualifications
- 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.
Preferred 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).
Tools & Platforms
- 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.
AI Evangelist employer: Tenth Revolution Group
Contact Detail:
Tenth Revolution Group Recruiting Team
StudySmarter Expert Advice π€«
We think this is how you could land AI Evangelist
β¨Tip Number 1
Network like a pro! Attend industry events, meetups, and conferences related to AI and finance. This is your chance to connect with potential employers and showcase your passion for AI in financial services.
β¨Tip Number 2
Show off your expertise! Create a portfolio of your AI projects, especially those relevant to finance. Share your insights through blogs or social media to position yourself as a thought leader in the field.
β¨Tip Number 3
Practice your pitch! Be ready to explain complex AI concepts in simple terms. This will help you communicate effectively with both technical teams and C-level executives during interviews.
β¨Tip Number 4
Donβt forget to apply through our website! Weβre always on the lookout for passionate individuals who can drive AI adoption in financial services. Your next big opportunity could be just a click away!
We think you need these skills to ace AI Evangelist
Some tips for your application π«‘
Tailor Your CV: Make sure your CV is tailored to the AI Evangelist role. Highlight your experience in financial services and any relevant AI projects you've worked on. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI in finance and how you can contribute to our mission at StudySmarter. Keep it engaging and personal.
Showcase Your Technical Skills: Donβt forget to highlight your programming skills, especially in Python and any AI/ML frameworks you've used. We love seeing hands-on experience, so share specific examples of your work in financial contexts.
Apply Through Our Website: We encourage you to apply directly through our website. Itβs the best way for us to receive your application and ensures youβre considered for the role. Plus, itβs super easy!
How to prepare for a job interview at Tenth Revolution Group
β¨Know Your AI Stuff
Make sure you brush up on the latest AI trends and technologies, especially those relevant to financial services. Be ready to discuss how you've applied AI in past roles and how it can transform banking, trading, and insurance.
β¨Speak Their Language
Prepare to translate complex AI concepts into simple, actionable insights. Practice explaining your ideas in a way that resonates with both technical teams and C-level executives, as this will showcase your ability to bridge the gap between tech and business.
β¨Showcase Your Thought Leadership
Bring examples of your previous work, like technical blogs or white papers, to demonstrate your expertise. This not only highlights your knowledge but also shows your commitment to advancing AI in the financial sector.
β¨Prepare for Compliance Questions
Since this role involves working within strict regulatory frameworks, be ready to discuss how you've ensured compliance in your past projects. Highlight your understanding of AI ethics and governance, as this is crucial in financial environments.