Salary: £27,500 – 55,500 per year
Requirements
- Demonstrated experience as an AI-augmented developer, with proficiency in tools such as Windsurf, Claude Code, and Model Context Protocols (MCPs) to accelerate engineering delivery
- Strong understanding of Engineering 2.0 principles, using AI and intelligent automation to enhance how software is designed, built, tested, and deployed
- Hands-on experience with machine learning concepts and the ability to integrate ML models into production applications and data pipelines
- Proficiency with Snowflake for data warehousing, analytics, and building scalable data platforms
- Experience designing and building event streaming architectures using technologies such as Apache Kafka and Azure Event Hubs
- Strong working knowledge of Azure and/or AWS cloud services, including compute, storage, serverless, and container orchestration
- Solid experience with .NET/C# and SQL Server for building enterprise-grade applications and data access layers
- Expert knowledge of design patterns, SOLID principles, and modern architectural patterns such as microservices, event-driven, and CQRS
- Experience and knowledge in Agile delivery, ideally with Scrum experience
- Experience delivering high-volume, highly available enterprise applications in regulated environments
- Strong knowledge of TDD, Continuous Integration, and automation practices
- Experience with modern CI/CD pipelines and infrastructure-as-code tooling
- Ability to critically analyse designs and code, providing constructive and actionable feedback
- Ability to communicate effectively with both technical and non-technical stakeholders
- Excellent verbal and written communication skills
Responsibilities
- Champion Engineering 2.0 practices by embedding AI-augmented development workflows across the team, driving measurable gains in velocity, quality, and innovation
- Leverage AI coding assistants and Model Context Protocols to accelerate software delivery, automate repetitive tasks, and elevate engineering standards
- Design, build, and deploy intelligent, scalable solutions that integrate machine learning models, event streaming pipelines, and cloud-native services on Azure and AWS
- Architect and implement data platforms using Snowflake for analytics and reporting, ensuring seamless integration with broader enterprise data ecosystems
- Build and maintain real-time event streaming architectures to power high-throughput, low-latency financial data flows
- Deliver robust full-stack solutions utilising .NET/C# and SQL where appropriate, ensuring clean, maintainable, and well-tested code across the stack
- Lead technical workshops and knowledge-sharing sessions on AI-augmented development, machine learning integration, and modern cloud patterns
- Mentor and uplift team members in adopting AI-driven engineering practices, fostering a culture of continuous learning and experimentation
- Partner with Architecture and Data Science teams to define best practices for ML model deployment, data pipeline design, and cloud infrastructure standards
- Conduct thorough code reviews with a focus on AI-assisted quality, providing constructive feedback to enhance code quality and team expertise
- Collaborate with the team and wider development community to cultivate Agile mindsets and practices, driving effective and adaptive workflows
Technologies
- AI
- AWS
- Architect
- Azure
- C#
- CI/CD
- Claude Code
- Cloud
- CQRS
- Kafka
- Machine Learning
- SQL
- Serverless
- Snowflake
- TDD
- Windsurf
- microservices
- ASP.NET
- Lambda
- Support
- Fullstack
More
We are BNY, a leading global financial services company at the heart of the global financial system, influencing nearly 20% of the worlds investible assets. Our culture enables our company to run better and supports employee growth and success, and we are recognized as a top destination for innovators where bold ideas meet advanced technology and exceptional talent. This full-time Vice President, AI-Augmented Full-Stack Engineer role is based in Manchester. We offer highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and our pay-for-performance philosophy, along with flexible global resources and tools, generous paid leave including paid volunteer time, and a commitment to supporting health, resilience, and financial goals. We are an Equal Employment Opportunity/Affirmative Action Employer.
last updated 40 week of 2026
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