At a Glance
- Tasks: Build and ship AI-driven solutions in a dynamic, innovative environment.
- Company: Join BNY's AI Transformation Office in London, a leader in tech innovation.
- Benefits: Competitive salary, health benefits, and opportunities for professional growth.
- Other info: Collaborative culture with a focus on cutting-edge AI solutions.
- Why this job: Be at the forefront of AI technology and make a real impact.
- Qualifications: Proficiency in AI coding tools and experience with Python or Java.
The predicted salary is between 80000 - 100000 £ per year.
We’re seeking a future team member for the role of AI-Forward Software Engineer to join our team. This role is located in London.
We are looking for a hands-on, AI-forward engineer to build and ship production-grade GenAI and agentic automation solutions as part of BNY's centralized AI Transformation Office. This is not a traditional engineering role - we need engineers who have fundamentally changed how they work: using tools like Claude Code and Windsurf daily, moving faster because of it, and bringing that AI-first mindset to everything from architecture decisions to code reviews.
In this role, you’ll make an impact in the following ways:
- Analytical skills - understand the business problem first; leverage AI tools to accelerate solution design, not replace the thinking
- Initiative & Ownership - run with tasks end-to-end, from scoping and prototyping to deployment, using AI-native tooling throughout - not just for coding, but across the entire workflow including design, testing, and documentation
- Build and contribute to AI-forward architecture standards - including prompt engineering patterns, agentic workflow design, and LLM integration guidelines
- Work with Product Owners, LOB stakeholders, and architects to design, prototype, and deliver AI-powered solutions spanning automation, workflow orchestration, and client-facing tooling
- Participate in code reviews with an AI-first lens - evaluating not just the code, but how effectively AI tooling was leveraged in the build
Software engineering experience with demonstrable, recent use of AI-native development tools as a core part of daily workflow - not a side habit.
To be successful in this role, we’re seeking the following:
Required Skills
- Daily proficiency with AI coding tools such as Claude Code, Windsurf, Cursor, or GitHub Copilot - this is a baseline requirement, not a differentiator
- Python and/or Java for backend service development
- LLM integration experience - OpenAI, Anthropic, or equivalent APIs
- MCP, REST APIs, Microservices Architecture
- Cloud platforms - AWS, Azure, or GCP
Preferred
- Agentic framework experience - LangChain, LangGraph, AutoGen, or similar
- RAG pipeline design and vector database experience (Pinecone, Weaviate, pgvector)
- Agile / SDLC tooling - Jira, Git, CI/CD pipelines
AI-Forward Software Engineer — AI Transformation Office, Senior Vice President in Edinburgh employer: BNY Mellon
At BNY, we pride ourselves on being an innovative employer that champions an AI-first culture, particularly within our AI Transformation Office in London. Our collaborative work environment fosters creativity and initiative, empowering employees to take ownership of their projects while leveraging cutting-edge AI tools. With a strong focus on professional growth and development, we offer unique opportunities for engineers to shape the future of technology and make a meaningful impact in the financial sector.
StudySmarter Expert Advice🤫
We think this is how you could land AI-Forward Software Engineer — AI Transformation Office, Senior Vice President in Edinburgh
✨Tip Number 1
Get your hands dirty with AI tools! Dive into platforms like Claude Code and Windsurf before your interview. Show us how you’ve integrated these tools into your daily workflow, not just as a side project.
✨Tip Number 2
Don’t just talk the talk; walk the walk! Be ready to discuss specific projects where you’ve used AI to solve real business problems. We want to see your analytical skills in action!
✨Tip Number 3
Network like a pro! Connect with current employees on LinkedIn or attend industry meetups. This can give you insider info about the company culture and what they really value in candidates.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team.
We think you need these skills to ace AI-Forward Software Engineer — AI Transformation Office, Senior Vice President in Edinburgh
Some tips for your application 🫡
Show Your AI Passion:Make sure to highlight your hands-on experience with AI tools like Claude Code and Windsurf. We want to see how you've integrated these into your daily workflow, so don’t hold back on sharing specific examples!
Tailor Your Application:Customise your CV and cover letter to reflect the skills and experiences mentioned in the job description. We’re looking for engineers who think AI-first, so make it clear how you embody that mindset in your work.
Be Clear and Concise:When writing your application, keep it straightforward and to the point. We appreciate clarity, so avoid jargon unless it’s relevant to the role. Show us you can communicate effectively, just like you would in a code review!
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity in our AI Transformation Office.
How to prepare for a job interview at BNY Mellon
✨Master the AI Tools
Make sure you’re well-versed in AI coding tools like Claude Code and Windsurf. During the interview, be ready to discuss how you’ve integrated these tools into your daily workflow and how they’ve changed your approach to software engineering.
✨Showcase Your Analytical Skills
Prepare to demonstrate your ability to understand business problems and leverage AI tools for solution design. Think of specific examples where you’ve used AI to enhance your problem-solving process, and be ready to share those insights.
✨Emphasise Initiative and Ownership
Highlight instances where you’ve taken projects from scoping to deployment using AI-native tooling. Discuss how you’ve managed tasks end-to-end and the impact it had on your team or project outcomes.
✨Engage in AI-First Discussions
Be prepared to participate in discussions about AI-forward architecture standards and prompt engineering patterns. Show that you can evaluate code not just on its functionality but also on how effectively AI tools were utilised throughout the development process.
