Champion AI-Enabled Engineering and Innovation
Drive adoption of AI-assisted software engineering practices to improve developer productivity, code quality, testing effectiveness, and delivery speed.
Evaluate and incorporate emerging AI capabilities into engineering workflows, including code generation, automated testing, documentation, and development lifecycle optimization.
Partner with architecture and platform teams to identify opportunities for AI-driven capabilities within the fraud case management ecosystem.
Establish engineering practices that balance innovation, security, governance, and responsible AI adoption.
Influence Across Teams and Systems
Act as an informal technical leader contributing to the fraud modernization roadmap.
Build strong partnerships with teams supporting existing case management and fraud-related applications.
Influence roadmaps, integration strategies, and technical standards to ensure a seamless end-to-end solution.
Build a New Engineering Team
Help establish engineering practices, standards, and delivery processes for a newly formed team of full-stack engineers.
Mentor and develop engineers through technical leadership, coaching, design reviews, and collaboration.
Promote a culture of ownership, innovation, automation, and continuous improvement.
Champion agile delivery practices that enable rapid iteration and continuous value delivery.
Drive Long-Term Platform Evolution
Help define a strategic roadmap that enables onboarding of additional fraud capabilities, workflows, and regions over time.
Identify opportunities to leverage cloud-native technologies, automation, integration patterns, and modern engineering practices.
Establish the foundation for a scalable global platform that can support future growth and evolving fraud prevention requirements.
Preferred Qualifications
Demonstrated experience leading architectural design and decision-making for complex distributed systems, including defining system structure, service boundaries, integration patterns, and technical direction—not solely implementing predefined architectures.
Qualifications
Approximately 10+ years of application engineering experience.
Undergraduate degree or equivalent combination of training and experience. Graduate degree preferred.
Strong experience with distributed systems, integrations, APIs, and modern application architectures.
Demonstrated ability to influence technical direction without direct authority.
Mentoring engineers and helping establish engineering best practices.
Leveraging AI-assisted development tools within modern software engineering environments.
Special Factors
- Sponsorship
- Vanguard is not offering visa sponsorship for this position.
About Vanguard
At Vanguard, we don't just have a mission—we're on a mission.
To work for the long-term financial wellbeing of our clients. To lead through product and services that transform our clients' lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne, our mission drives us forward and inspires us to be our best.
How We Work
Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.
