Director, Software Engineer

Visa; Singapore; On-site; SGD 260,000 - 360,000; Full time

Job summary

Visa is seeking an Engineering Director to define and implement AI-driven strategies across the VROL platform. You will guide a high-performing team, align with product life cycle stages, and drive secure, scalable, and resilient systems.

A strong focus on AI adoption, engineering standards, and developer productivity will shape architectural direction and delivery velocity. You will partner with senior leaders to translate complex business challenges into measurable ML metrics and ensure

Qualifications

• 10+ years of relevant work experience with a Bachelor's Degree, or 7+ years with an Advanced degree, or 13+ years with a PhD.
• Proven track record building and leading engineering teams for enterprise-scale software.
• Experience designing, developing and managing complex, mission-critical systems.

Responsibilities

• Provide leadership and vision to engineers building tools and services ensuring secure code and continuous delivery.
• Set clear expectations and KPIs; mentor staff and manage accountability.
• Adopt AI-driven engineering practices and elevate architectural standards across programs.
• Collaborate with cross-functional teams to leverage AI for business solutions.
• Oversee ML model development and ensure robust deployment, monitoring and governance.
• Translate business challenges into measurable ML metrics and communicate decisions clearly.
• Stay current with AI advances and champion innovations throughout the engineering lifecycle.
• Support Agile practices and coordination across multiple teams and environments.

Skills

AI strategy

Machine Learning

Engineering leadership

Agile practices

Stakeholder communication

Education

Bachelor's degree / advanced degree

Tools

AI/ML frameworks

Job description

About Us

Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid.

At Visa, you’ll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world.

Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you.

Job Description

Visa Resolve Online is looking for a leader to define guide and implement strategies, policies, and tools for next level of delivery maturity for VROL platform. We believe that the role is essential in integrating the project functions and resources across the product life cycle, right from planning, building testing and deployment to support. You will lead the development of next-generation AI solutions that transform dispute management through Generative AI, Machine Learning, Conversational AI, Intelligent Document Processing, and Developer Productivity tools.

Reporting to Senior Director, you will need to strategize, implement, and communicate necessary process, workflows, and tools to enable developers code and test functional and technical changes at a consistent pace. As an Engineering Director you will lead a high-performing software engineering team responsible for building, modernizing, and supporting Visa’s revenue-related enterprise applications. You will define technical direction, champion the adoption of AI-driven engineering practices, own architectural strategy, elevate engineering standards, and guide the delivery of secure, scalable, and resilient systems. This role requires a mindset to learn newer technologies and improvements in processes for a seamless and efficient delivery pipeline. In this role, you will bring deep technical and functional expertise, with a strong focus on leveraging AI both to accelerate development and to design intelligent solutions for complex business needs.

Responsibilities

• Provides leadership, mentoring, guidance, and vision to groups of engineers engaged in building tools and services to achieve secure code and continuous flow of artifacts
• Support growth for people directly reporting by setting up clear expectations and goals; evaluating and managing KPIs and accountability
• Exhibit a growth mindset by adoption industry best practices and technology trends around information security practices in pursuit of continuous delivery
• Collaborate with cross-functional teams to identify opportunities for leveraging AI to drive business solutions.
• Oversee the design, development, and maintenance of Machine Learning models and solutions.
• Translating real-world business challenges into measurable machine learning metrics
• Explain complex algorithmic decisions and model predictions to non-technical stakeholders
• Maintain knowledge of current and emerging technologies or applications in areas of AI and Machine Learning
• Measure the effectiveness of AI initiatives and adjust strategies as needed
• Champion the use of AI across the engineering lifecycle, including AI assisted coding, automated testing, code generation, and productivity enhancing development workflows.
• Foster a culture of innovation, experimentation, and continuous improvement, encouraging teams to explore new technologies and evolve engineering standards.
• Understand, support, and enhance Agile practices around code integration, system thinking and scaled delivery
• Support multiple cross-functional agile teams in setting up test environments, build, deployment and troubleshooting. Collaborate with Tech leads in removing impediments hindering continuous delivery
• Comfortable to look under the hood and help the team troubleshoot issues around code, tools and workflows
• Work as the integration point of contact for internal and external infrastructure/ support teams by translating technical change requests to executable steps
• Keep track of changes requested by multiple development and testing teams for parallel code deployments
• Review, prioritize and schedule change requests in various environments starting from integration, member test and production

Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager

Qualifications

Basic Qualifications

• 10+ years of relevant work experience with a Bachelor's Degree or at least 7 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 4 years of work experience with a PhD, OR 13+ years of relevant work experience.

Preferred Qualifications

• Bachelor's. degree with 12+ years, or M.S. degree with 10+ years, of experience designing, developing, and managing complex, enterprise-class, mission-critical global application systems.
• 5+ years leading engineering teams responsible for enterprise-scale software delivery
• Prov