Machine Learning – AI Engineering Manager

• Lead a team of Machine Learning Engineers delivering scalable, secure, reliable, and extensible AI solutions
• Develop, maintain, support, and evolve 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
• Drive engineering excellence, Dev Ops, MLOps, LLMOps, and Fin Ops disciplines
• Shape AI and ML roadmaps with Data Scientists, Product Owners, and stakeholders
• Provide technical direction and architectural guidance for complex AI and ML initiatives
• Establish standards and best practices for safe, trustworthy, explainable, and scalable AI solutions
• Drive adoption of GenAI and agentic solutions to improve efficiency, automation, and delivery quality
• Hire, coach, mentor, and develop future technical leaders
• Own delivery, operation, and continuous improvement of Vanguard's production AI, ML, and GenAI platforms and solutions
• Own engineering for the Vanguard Financial Advice Model and Risk-Based Research Engine with ISG Methodology
• Oversee model health monitoring, observability, availability, reliability, and production support processes
• Lead stakeholder relationships across Technology, Methodology, Product, and Analytics teams

• Minimum of eight years data analytics, programming, database administration, or data management experience
• Undergraduate degree or equivalent combination of training and experience
• 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
• Ability to balance strategic leadership with hands-On technical engagement
• Interest in MLOps, LLMOps, Fin Ops, and agentic AI
• No visa sponsorship is offered for this position

Demonstrates expertise in leading Machine Learning and AI Engineering teams, with a strong focus on developing and operationalizing scalable AI solutions. Proven ability to establish operational excellence and drive engineering best practices in production AI environments.

• Machine Learning Engineering Leadership
• Production AI/ML Systems Expertise
• MLOps, LLMOps, Fin Ops Knowledge
• Technical Direction and Architectural Guidance
• Stakeholder Relationship Management

• Machine Learning
• AI Engineering
• Data Analytics
• Cloud-Native Engineering
• Database Administration
• Data Management
• Generative AI Models
• Production Readiness
• Monitoring and Incident Management
• Operational Excellence

• Coaching and Mentoring
• Strategic Leadership
• Hands-On Technical Engagement

• Undergraduate Degree or Equivalent Experience

• AI Solutions
• Financial Advice
• Portfolio Construction
• Explainable AI
• Scalable AI Solutions