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 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
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.
Skills Required
- At least eight years of experience in data analytics, programming, database administration, or data management
- Undergraduate degree or equivalent combination of training and experience
- Graduate degree
- 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
- Success partnering with product, analytics, and business stakeholders
- Experience developing engineering talent and building high-performing teams
- Ability to balance strategic leadership with hands-on technical engagement
- Interest in MLOps, LLMOps, FinOps, and agentic AI
Vanguard Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Vanguard and has not been reviewed or approved by Vanguard.
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Retirement Support — Retirement support appears unusually strong through a 401(k) design that includes a match plus an additional employer contribution, which can materially lift long-term total rewards. HSA seeding and an enhanced employer match further strengthen the savings-and-benefits value of the package.
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Wellbeing & Lifestyle Benefits — Wellbeing and lifestyle support is reinforced by a sizable annual FlexFund stipend that can be applied across many day-to-day categories such as fitness, childcare, and other personal expenses. On-site or virtual clinics and fitness options add practical health and wellness convenience.
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Affordable Benefits — Healthcare and related benefits are positioned as comparatively affordable via heavily subsidized medical plans and broad coverage options. This affordability can offset moderate base pay for employees who place higher value on out-of-pocket cost reductions.
Vanguard Insights
What We Do
We are a community of 30 million who think – and feel – differently about investing. Together, we’re changing the way the world invests. Since our founding in 1975, helping our investors achieve their goals is our sole reason for existence. With no other parties to answer to and therefore no conflicting loyalties, we make every decision—like keeping investing costs as low as possible—with only your needs in mind. Vanguard is one of the world's largest investment companies, offering a large selection of high-quality low-cost mutual funds, ETFs, advice, and related services. Individual and institutional investors, financial professionals, and plan sponsors can benefit from the size, stability, and experience Vanguard offers. As of April 30, 2019, we managed more than $5.6 trillion in global assets. In addition, we have 189 funds in the United States and 225 funds in global markets. For Commenting Guidelines & Important information, visit here: http://vanguard.com/linkedin Vanguard Marketing Corporation, Distributor.
