V
Machine Learning/AI Engineering Manager
Vanguard
4 hours ago
Full-time
On-site
Fort Worth, Texas, United States
Machine Learning/AI Engineering Manager
Apply (https://vanguard.wd5.myworkdayjobs.com/en-US/vanguard_external/job/Malvern-PA/Machine-Learning-AI-Engineering-Manager_182063-1/apply)
locations
Malvern, PA
Charlotte, NC
Dallas/Ft. Worth, TX
time type
Full time
posted on
Posted 7 Days Ago
job requisition id
182063
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.
Apply (https://vanguard.wd5.myworkdayjobs.com/en-US/vanguard_external/job/Malvern-PA/Machine-Learning-AI-Engineering-Manager_182063-1/apply)
locations
Malvern, PA
Charlotte, NC
Dallas/Ft. Worth, TX
time type
Full time
posted on
Posted 7 Days Ago
job requisition id
182063
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.