Machine Learning/AI Engineering Manager
About the Role
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. 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 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.
Responsibilities
- Lead a team of Machine Learning Engineers delivering scalable, secure, reliable, and extensible AI solutions
- Develop, maintain, support, and evolve a portfolio of production machine learning and generative AI models
- Partner with Investment Strategy Group methodology teams to operationalize financial advice, portfolio construction, and personalization models
- Ensure production readiness through monitoring, alerting, validation, testing, observability, and incident management practices
- Drive engineering excellence, DevOps, MLOps, LLMOps, and FinOps disciplines
- Shape AI and ML roadmaps alongside Data Scientists, Product Owners, and stakeholders
- Provide technical direction and architectural guidance for complex AI and ML initiatives
- Build trusted relationships across technology and business teams to influence strategy and delivery outcomes
- Establish standards and best practices that enable safe, trustworthy, explainable, and scalable AI solutions
- Drive adoption of GenAI and agentic solutions within the engineering organization to improve efficiency, automation, and delivery quality
- Hire, 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 solutions
- Engineering 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 models
- Reliability and support processes ensuring production AI systems remain resilient, trusted, and available
- Technical leadership for Machine Learning Engineering, MLOps, LLMOps, DevOps, and FinOps practices
- Team leadership, coaching, and development for a high-performing Machine Learning Engineering organization
- Stakeholder 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 teams
- Strong technical depth in production AI/ML systems and cloud-native engineering
- Experience establishing operational excellence for production AI platforms
- Demonstrated success partnering with product, analytics, and business stakeholders
- Passion for developing engineering talent and building high-performing teams
- Ability to balance strategic leadership with hands-on technical engagement
- Interest in advancing modern engineering practices, including MLOps, LLMOps, FinOps, and agentic AI
Why This Role
- Directly influence how Vanguard delivers personalized financial advice at scale
- Lead engineering for some of Vanguard's most strategic AI and machine learning capabilities
- Work at the intersection of financial methodology, applied AI, and large-scale engineering
- Shape the future of GenAI, agentic systems, and AI engineering practices within Personal Wealth Technology
- Develop a talented team while driving meaningful outcomes for millions of investors
- Join a leadership team committed to innovation, engineering excellence, and investor-centric outcomes
Special Factors: Vanguard is not offering visa sponsorship for this position.