Software Development Lead - AI Banking

About the Role We are looking for a hands-on Software Development Lead with deep experience in banking, financial services, or fintech , combined with strong expertise in AI and modern software engineering . This is an opportunity for a senior software engineer who enjoys being close to the technology and wants to grow into a broader engineering leadership role. The successful candidate will initially operate as a hands-onIndividual Contributor (IC) , taking ownership of architecture, software development, technical problem-solving, and delivery. As the engineering organisation grows, the role will evolve into a Software Development Lead responsible for technical direction, mentoring, and eventually building and leading an engineering team. The ideal candidate has a strong understanding of how banking products, processes, and technology platforms work and can translate complex financial requirements into scalable AI-enabled software solutions. Key Responsibilities Hands-on Software Development • Design, develop, test, deploy, and maintain AI-powered software solutions for banking and financial services . • Take ownership of the full software development lifecycle, from technical design and development through production deployment and support. • Write clean, scalable, maintainable, and production-ready code. • Work hands-on with backend services, APIs, databases, integrations, and distributed systems. • Conduct code reviews and establish strong engineering practices and development standards. • Troubleshoot complex technical issues and drive effective solutions. • Work closely with Product, AI/ML, QA, DevOps, and business teams to deliver high-quality products. AI & Intelligent Banking Solutions • Develop software applications that integrate AI/ML and Generative AI capabilities into banking products and workflows. • Work with AI/ML engineers and data teams to integrate models into production applications. • Support development of AI-enabled capabilities such as intelligent automation, decision support, conversational AI, knowledge systems, document intelligence, customer engagement, and financial workflows . • Understand how AI models interact with application architecture, APIs, data pipelines, security, and production systems. • Evaluate technical trade-offs around model performance, latency, scalability, reliability, security, and cost . • Help build production-grade AI systems that are reliable, explainable, and suitable for enterprise banking environments. Deep Banking & Fintech Technology • Apply strong domain knowledge across banking and financial services to software architecture and product development. • Work with complex banking workflows and systems across areas such as: • • Core banking • Digital banking • Payments • Lending • Customer onboarding / KYC • Transaction processing • Risk and compliance • Financial data and analytics • Wealth or investment platforms • Understand the technical and operational requirements of highly regulated financial institutions. • Design solutions with appropriate consideration for security, data privacy, compliance, auditability, reliability, and availability . • Translate banking requirements into practical and scalable technical solutions. Technical Architecture &Engineering • Contribute to the architecture and technical direction of AI-powered banking platforms. • Design scalable APIs, microservices, event-driven systems, and distributed applications . • Make sound technical decisions around performance, scalability, reliability, security, and maintainability. • Work with cloud technologies and modern software engineering practices. • Establish engineering standards for testing, CI/CD, deployment, observability, and production reliability. • Identify technical risks and proactively address architecture and engineering challenges. Future Engineering Leadership • Start as a hands-on IC and progressively take on broader technical leadership responsibilities. • Mentor engineers and provide technical guidance as the team expands. • Establish development standards, engineering practices, and technical processes. • Participate in technical planning, architecture reviews, and engineering roadmap discussions. • Eventually lead a software development team, including technical direction, resource planning, delivery, mentoring, and performance development. • Partner with Product and business leadership to translate company objectives into achievable technical roadmaps. Requirements Bachelor's or Master's degree in Computer Science, Software Engineering, Information Technology, or a related discipline . 8–12+ years of hands-on software development experience , preferably with substantial experience in banking, financial services, or fintech. Strong professional experience developing enterprise-grade software for banking or financial institutions . Strong programming skills in one or more modern languages such as Java, Python, C++, C#, or Go . Strong understanding of software architecture, system design, algorithms, data structures, APIs, databases, and distributed systems. Hands-on experience with AI/ML or Generative AI-enabled applications . Experience integrating AI/ML models into production software or enterprise applications. Strong understanding of cloud platforms, microservices, APIs, CI/CD, containers, and modern software development practices. Experience working with complex, highly available, secure, and regulated technology environments. Strong problem-solving and analytical skills. Excellent communication skills and ability to work with both technical and business stakeholders. UEN: 202329526G EA Licence: 23S2061