We’re seeking a future team member for the role of AI-Forward Software Engineer — AI Transformation Office, Senior Vice President 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 are not looking for engineers who use AI tools occasionally. 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
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