Machine Learning/AI Engineering Manager

Applying AI Engineering to Improve the Lives of Investors Advice is the fullest manifestation of Vanguard's mission. Our goal is to deliver high-quality, trusted, and personalized financial advice at scale. Achieving that vision requires world-class Data & AI Engineering capabilities that transform advanced analytics, machine learning, and generative AI into production solutions used by advisors, clients, and business partners every day. Within Personal Wealth Technology (PWT), we are building and operating the next generation of AI-powered capabilities that drive personalized financial advice, portfolio construction, and investor outcomes. This is a unique opportunity to lead the engineering team responsible for some of Vanguard's most critical AI and machine learning platforms and products. We are seeking a Machine Learning Engineering Manager to lead a high-performing team of Machine Learning Engineers responsible for building, operating, and evolving Vanguard's production AI, ML, and Generative AI solutions. This leader will oversee engineering for a portfolio of traditional machine learning and GenAI capabilities that power investor personalization, financial planning, and advice experiences across Personal Wealth Technology. You will partner closely with Data Scientists, Product Owners, Architects, and Vanguard's Investment Strategy Group (ISG) methodology teams to transform sophisticated models and research into reliable, scalable, and trusted production solutions. This is a highly technical leadership role. The successful candidate will be expected to actively participate in solution architecture, technical design, engineering strategy, model operations, production support, and Agile delivery while developing the next generation of AI engineering talent. Responsibilities Lead a team of Machine Learning Engineers delivering scalable, secure, reliable, and extensible AI solutionsDevelop, maintain, support, and evolve a portfolio of production machine learning and generative AI modelsPartner with Investment Strategy Group methodology teams to operationalize financial advice, portfolio construction, and personalization modelsEnsure production readiness through monitoring, alerting, validation, testing, observability, and incident management practicesDrive engineering excellence, DevOps, MLOps, LLMOps, and FinOps disciplinesShape AI and ML roadmaps alongside Data Scientists, Product Owners, and stakeholdersProvide technical direction and architectural guidance for complex AI and ML initiativesBuild trusted relationships across technology and business teams to influence strategy and delivery outcomesEstablish standards and best practices that enable safe, trustworthy, explainable, and scalable AI solutionsDrive adoption of GenAI and agentic solutions within the engineering organization to improve efficiency, automation, and delivery qualityHire, coach, mentor, and develop future technical leaders What You'll Own Delivery, operation, and continuous improvement of Vanguard's production AI, ML, and GenAI platforms and solutionsEngineering ownership along with ISG Methodology for the Vanguard Financial Advice Model (VFAM) and Risk-Based Research Engine (RBRE)Model health monitoring, observability, availability, and operational excellence across all production modelsReliability and support processes ensuring production AI systems remain resilient, trusted, and availableTechnical leadership for Machine Learning Engineering, MLOps, LLMOps, DevOps, and FinOps practicesTeam leadership, coaching, and development for a high-performing Machine Learning Engineering organizationStakeholder relationships across Technology, Methodology, Product, and Analytics teams Qualifications Minimum of eight years data analytics, programming, database administration, or data management experience. Undergraduate degree or equivalent combination of training and experience. Graduate degree preferred. Preferred Qualifications Proven experience leading Machine Learning, AI Engineering, or Software Engineering teamsStrong technical depth in production AI/ML systems and cloud-native engineeringExperience establishing operational excellence for production AI platformsDemonstrated success partnering with product, analytics, and business stakeholdersPassion for developing engineering talent and building high-performing teamsAbility to balance strategic leadership with hands-on technical engagementInterest in advancing modern engineering practices, including MLOps, LLMOps, FinOps, and agentic AI Why This Role Directly influence how Vanguard delivers personalized financial advice at scaleLead engineering for some of Vanguard's most strategic AI and machine learning capabilitiesWork at the intersection of financial methodology, applied AI, and large-scale engineeringShape the future of GenAI, agentic systems, and AI engineering practices within Personal Wealth TechnologyDevelop a talented team while driving meaningful outcomes for millions of investorsJoin a leadership team committed to innovation, engineering excellence, and investor-centric outcomes 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.