At a Glance
- Tasks: Join us to build AI solutions that revolutionise the way we work.
- Company: BNY, a leader in AI transformation with a focus on innovation.
- Benefits: Competitive salary, health benefits, and opportunities for remote work.
- Other info: Dynamic team environment with excellent career growth potential.
- Why this job: Be at the forefront of AI technology and make a real impact.
- Qualifications: Proficiency in AI coding tools and experience in 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, located in London. This role is part of BNY’s centralized AI Transformation Office, focusing on building and shipping production-grade GenAI and agentic automation solutions that transform how work is done.
Responsibilities
- Use analytical skills to understand business problems first and leverage AI tools to accelerate solution design without replacing critical thinking.
- Take initiative and ownership of tasks end‑to‑end, from scoping and prototyping to deployment, using AI‑native tooling throughout the workflow.
- Build and contribute to AI‑forward architecture standards, including prompt engineering patterns, agentic workflow design, and LLM integration guidelines.
- Collaborate with Product Owners, LOB stakeholders, and architects to design, prototype, and deliver AI‑powered solutions across automation, workflow orchestration, and client‑facing tooling.
- Participate in code reviews with an AI‑first lens, evaluating not only the code but also the effectiveness of AI tooling in the build.
- Demonstrate software engineering experience with daily use of AI‑native development tools as a core part of your workflow.
Qualifications
Required Skills
- Daily proficiency with AI coding tools such as Claude Code, Windsurf, Cursor, or GitHub Copilot.
- Experience in Python and/or Java for backend service development.
- LLM integration experience with OpenAI, Anthropic, or equivalent APIs.
- Knowledge of Microservices Architecture, REST APIs, and MCP.
- Experience with cloud platforms (AWS, Azure, or GCP).
Preferred Skills
- Experience with agentic frameworks (LangChain, LangGraph, AutoGen, or similar).
- Experience designing RAG pipelines and working with vector databases such as Pinecone, Weaviate, or pgvector.
- Familiarity with Agile/SDLC tooling, including Jira, Git, and CI/CD pipelines.
AI-Forward Software Engineer — AI Transformation Office, Senior Vice President employer: hackajob
At BNY, we pride ourselves on being an exceptional employer, particularly for the role of AI-Forward Software Engineer in our London office. Our dynamic work culture fosters innovation and collaboration, providing employees with ample opportunities for professional growth and development in the rapidly evolving field of AI. With a focus on cutting-edge technology and a commitment to employee well-being, we offer a unique environment where your contributions can truly make a difference.
StudySmarter Expert Advice🤫
We think this is how you could land AI-Forward Software Engineer — AI Transformation Office, Senior Vice President
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and software engineering space on LinkedIn or at meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AI tools and coding. This is your chance to demonstrate your expertise and creativity, so make it shine!
✨Tip Number 3
Prepare for interviews by brushing up on common AI-related questions and coding challenges. Practice makes perfect, so consider doing mock interviews with friends or using online platforms to get comfortable.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace AI-Forward Software Engineer — AI Transformation Office, Senior Vice President
Some tips for your application 🫡
Show Your AI Passion:When you're writing your application, let your enthusiasm for AI shine through! We want to see how you’ve used AI tools in your past projects and how they’ve helped you solve real-world problems. Make it personal and relatable!
Tailor Your Experience:Don’t just send a generic CV! We’re looking for specific experiences that align with the role. Highlight your proficiency with AI coding tools and any relevant projects you've worked on. Show us how your skills match what we need!
Be Clear and Concise:Keep your application straightforward and to the point. Use clear language to describe your experience and skills. We appreciate brevity, so avoid fluff and focus on what really matters to us!
Apply Through Our Website:Make sure to apply through our website for the best chance of getting noticed! It’s the easiest way for us to track your application and ensure it reaches the right people. We can’t wait to see what you bring to the table!
How to prepare for a job interview at hackajob
✨Know Your AI Tools
Make sure you’re well-versed in the AI coding tools mentioned in the job description, like Claude Code or GitHub Copilot. Brush up on how these tools can enhance your workflow and be ready to discuss specific examples of how you've used them in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to demonstrate your analytical skills by discussing how you've tackled business problems using AI solutions. Think of a few scenarios where you took ownership from scoping to deployment, and be ready to explain your thought process and the impact of your solutions.
✨Familiarise Yourself with Architecture Standards
Since the role involves contributing to AI-forward architecture standards, review concepts like prompt engineering patterns and agentic workflow design. Be prepared to discuss how you would approach building these standards and any relevant experience you have.
✨Collaborate and Communicate
This position requires collaboration with various stakeholders, so practice articulating your ideas clearly. Prepare to discuss how you’ve worked with Product Owners and architects in the past, and think about how you can effectively communicate technical concepts to non-technical team members.
