AI-Forward Software Engineer — AI Transformation Office, Senior Vice President
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
- Required Skills
+ 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
+ RAG pipeline design and vector database experience (Pinecone, Weaviate, pgvector)
+ Agile / SDLC tooling \- Jira, Git, CI/CD pipelines
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