Technical Lead - AI/ML, Specialist

Global Risk and Security (GR&S) at Vanguard enables business strategy, protects client and Vanguard interests (e.g., assets and data), and stewards a strong risk culture. Our teams leverage enterprise-wide insights, deep expertise, and trusted advice so that across Vanguard leaders and crew drive faster, stronger, risk-informed decisions.

Within GR&S, the Enterprise Security and Fraud (ES&F) sub-division is responsible for the global protection of Vanguard crew, property, data, and client assets. We are the trusted advisors that protect the pride of Vanguard with state-of-the-art security and fraud capabilities.

We are a world-class destination of highly engaged, passionate, and diverse talent expected to continuously learn and develop in an ever-changing security landscape. Our crew are our greatest resource – by joining our team you will build collaborative long-term relationships and enjoy a suite of benefits that includes comprehensive health and wellness care, work-life balance, and an investment in your future at its core.

Are you passionate about Analytics and AI/ML? Are you interested in defining architectural solutions leveraging cloud-based technologies and New Ways of Working? This is an exciting opportunity for you to be part of Enterprise Security and Fraud journey at Vanguard in driving cyber security and fraud outcomes for our clients.

As the Technical Lead in the Vanguard Enterprise Security and Fraud Team, specializing in GenAI Solutions, you will be at the forefront of devising and implementing cutting-edge generative AI, LLMOps, and MLOps strategies to enhance our security and fraud detection capabilities. Your leadership and technical expertise will be vital in transforming complex business needs into robust, innovative solutions that integrate seamlessly into Vanguard’s operations, thereby elevating our security posture and fraud prevention mechanisms.

Your role will involve leading the vision, strategy, and execution of new GenAI products, solutions, and services, tailored specifically to combat security threats and fraud. By leveraging your experience in data science and expertise in deploying hybrid large language models (LLMs) and interactive AI capabilities on hybrid cloud infrastructures, you will drive the development of best-in-class security solutions. Collaborating cross-functionally, you will design and deliver these innovative solutions, ensuring that they not only meet but exceed our operational requirements and customer expectations. From the initial design to productization, your guidance will ensure the incorporation of best practices and state-of-the-art tools, making our Enterprise Security and Fraud Team a leader in the industry.

 Technical Lead – AI/ML Specialist:

• Collaborates with internal stakeholders to gather and analyze security and fraud detection requirements; help to defines the architectural blueprint for Generative AI, LLMOps, and MLOps solutions to address these challenges.
• Leads the development and deployment strategy for scalable and secure AI platforms, applications, and systems tailored for security and fraud prevention across diverse cloud environments and computing platforms.
• Oversees the creation and maintenance of technical and configuration documentation for a broad audience, including internal teams, partners, and customers, ensuring clarity and accessibility of information related to security and fraud detection AI solutions.
• Builds and maintains strong relationships with key stakeholders, becoming a trusted advisor while continuously enhancing knowledge in AI, machine learning, security, and fraud detection technologies.
• Integrates and customizes advanced machine learning algorithms and technologies, such as anomaly detection models, to strengthen Vanguard’s security and fraud detection capabilities. Utilizes statistical analysis and machine learning techniques to identify and evaluate opportunities for enhancing security measures and fraud prevention strategies.
• Designs and oversees A/B testing for statistical models and machine learning algorithms, ensuring the continuous optimization and effectiveness of security and fraud detection systems.
• Conducts rigorous code reviews and oversees the design of algorithms and models, performing experiments to validate the functionality and performance of security and fraud detection AI solutions.
• Engages in special projects focused on advancing Vanguard’s security and fraud detection capabilities, exploring new technologies and methodologies in the field of AI and machine learning.
• Assumes additional responsibilities as needed, contributing to the team’s success and the evolution of Vanguard’s security and fraud prevention efforts.