AI-Forward Software Engineer — AI Transformation Office, Senior Vice President

AI-Forward Software Engineer — AI Transformation Office, Senior Vice President

Full-Time 80000 - 100000 £ / year (est.) No working from home possible
BNY

At a Glance

  • Tasks: Build and ship AI-driven solutions in a dynamic, innovative environment.
  • Company: Join BNY, a leading global financial services company at the forefront of AI technology.
  • Benefits: Competitive pay, flexible resources, generous leave, and a focus on wellbeing.
  • Other info: Be part of a culture that values innovation and personal growth.
  • Why this job: Make a real impact with cutting-edge AI tools and transformative projects.
  • Qualifications: Proficiency in AI coding tools, Python/Java, and LLM integration experience.

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

At BNY, our culture allows us to run our company better and enables employees’ growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world’s investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide.

BNY offers highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and our pay-for-performance philosophy. We provide access to flexible global resources and tools for your life’s journey. Focus on your health, foster your personal resilience, and reach your financial goals as a valued member of our team, along with generous paid leaves, including paid volunteer time, that can support you and your family through moments that matter.

BNY is an Equal Employment Opportunity/Affirmative Action Employer - Underrepresented racial and ethnic groups/Females/Individuals with Disabilities/Protected Veterans.

AI-Forward Software Engineer — AI Transformation Office, Senior Vice President employer: BNY

At BNY, we pride ourselves on being a forward-thinking employer that champions innovation and employee growth. Located in the vibrant city of London, our culture fosters collaboration and creativity, allowing you to leverage cutting-edge AI technologies while enjoying competitive compensation and comprehensive benefits. Join us to be part of a dynamic team where your contributions will not only drive transformative solutions but also empower your personal and professional development.

BNY

Contact Details:

BNY Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land AI-Forward Software Engineer — AI Transformation Office, Senior Vice President

Tip Number 1

Get your hands dirty with AI tools! Make sure you're not just familiar with them but using them daily. Show us how you've integrated tools like Claude Code or Windsurf into your workflow to solve real problems.

Tip Number 2

Network like a pro! Connect with folks in the industry, attend meetups, and engage in online forums. The more people you know, the better your chances of landing that dream job with us at BNY.

Tip Number 3

Prepare for those interviews by practising your problem-solving skills. We want to see how you tackle challenges using an AI-first mindset, so be ready to discuss your thought process and decisions.

Tip Number 4

Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows us you’re genuinely interested in being part of our innovative team at BNY.

We think you need these skills to ace AI-Forward Software Engineer — AI Transformation Office, Senior Vice President

AI Coding Tools Proficiency
Python
Java
LLM Integration Experience
MCP
REST APIs
Microservices Architecture

Some tips for your application 🫡

Show Your AI Passion:When you're writing your application, make sure to highlight your genuine enthusiasm for AI. We want to see how you've integrated AI tools like Claude Code and Windsurf into your daily workflow, so don’t hold back on sharing your experiences!

Tailor Your Application:Take the time to customise your application for this role. Use the job description as a guide and align your skills and experiences with what we’re looking for. This shows us that you’ve done your homework and are genuinely interested in joining our team.

Be Clear and Concise:Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon and focus on communicating your skills and experiences effectively. Remember, less is often more!

Apply Through Our Website:Make sure to submit your application through our official website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy to do!

How to prepare for a job interview at BNY

Know Your AI Tools Inside Out

Make sure you’re well-versed in the AI coding tools mentioned in the job description, like Claude Code and Windsurf. Be ready to discuss how you've used these tools in 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 explain your thought process during the interview.

Emphasise Initiative and Ownership

Highlight experiences where you took a project from scoping to deployment, especially using AI-native tooling. Discuss how you managed tasks end-to-end and the impact of your contributions on the overall project success.

Engage in Code Review Discussions

Be prepared to talk about your experience with code reviews, particularly through an AI-first lens. Share examples of how you evaluated not just the code quality but also the effectiveness of AI tools in the development process.