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About the Role

The FinTech Lab gives financial services organisations direct access to the latest developments in agentic systems and artificial intelligence, helping them rapidly explore, validate and bring high-value business opportunities to market. We are looking for experienced software engineers who are aware of emerging trends and excited to help clients innovate. As part of the Lab’s engineering team, you will help shape and evolve our technology stack while rapidly developing prototypes that demonstrate how AI and agentic systems can solve real business challenges.

Responsibilities

Lead rapid prototype development using cutting-edge agent-driven engineering approaches.
Challenge traditional delivery methods and introduce faster, more automated ways of building software.
Define and maintain engineering standards across the Lab, including quality, security, testing and production-readiness.
Work with clients and internal stakeholders to identify, assess and prioritise high-value opportunities for emerging technology.
Architect AI-enabled solutions that connect data, tools and user intent to automate complex workflows.
Create intuitive interfaces and human-in-the-loop workflows for supervising and improving AI-enabled processes.
Share reusable patterns, lessons learned and technology best practices across EY.
Manage multiple workstreams effectively through clear planning, prioritisation and communication.

Requirements

4+ years of experience in software engineering and/or technology consulting
Experience in at least two modern programming languages such as TypeScript, Python, Java or Go.
Proven ability to architect, build and deploy complex agentic systems, including agent-to-agent communication
Ability to build auditable agentic systems that can be traced and observed
Expertise in developing APIs and microservices
Good understanding of frontend technologies such as React and Next.js
Experience managing at least one cloud platform, such as Azure, AWS or GCP
Experience working with AI development frameworks such as LangChain, foundation model platforms, vector databases, structured outputs, tracing and evaluation techniques
Experience applying modern engineering practices, including testing, CI/CD, DevOps, observability, secure development, code quality, architecture reviews and production-readiness
Experience designing monitoring approaches, dashboards or evaluation mechanisms to understand the performance and behaviour of AI-enabled systems
Strong communication skills to articulate complex technical solutions
Experience building complex systems, including writing MCP servers
Experience with spec-driven development and configuring coding-agents
Experience designing human-in-the-loop workflows, including review, escalation and feedback mechanisms for AI-supported decisions
Evidence of hands-on experimentation through personal projects, open-source contributions, prototypes or a relevant technical portfolio
Previous experience in a consulting environment managing client expectations and delivery timelines
A track record of identifying and capitalising on opportunities with clients

Skills

A proven record of identifying and implementing emerging technologies
A strong interest and excitement about new business opportunities in the age of AI
Demonstrated ability to engage effectively with financial services clients and start-ups, including non-technical stakeholders
Strong client engagement skills to oversee implementation progress and ensure client satisfaction, with the ability and motivation to build stakeholder understanding and buy-in
Ability to combine engineering judgement with user-centred thinking, ensuring solutions are technically robust, intuitive and easy to adopt
Excellent communication skills with the ability to translate complex technical concepts to diverse audiences

Experience Level

4+ years of experience in software engineering and/or technology consulting

Benefits

Competitive remuneration package
Support for flexible working
Support for career development
MyReward for selecting benefits
Holidays
Health and well-being
Insurance
Savings
Wide range of discounts, offers and promotions
Continuous learning
Success as defined by you
Transformative leadership
Diverse and inclusive culture

About the Company

EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.
Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.
EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions.
Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

Equal Opportunity

Prior to finalising your application, you will be asked to provide personal information across several dimensions of diversity and inclusiveness. The information you provide is kept entirely confidential and will not be used to evaluate your candidacy. We collect this data to help us analyse our recruitment process holistically and implement actions that promote diversity and inclusiveness. While optional, we encourage you to provide this information to hold us accountable to our goal of building a better working world. Read more about our commitment to diversity and inclusiveness here. We ask because it matters.