Head of Production ML & GenAI Engineering

Vanguard; Dallas (TX); Hybrid; USD 180,000 - 240,000; Full time

Job summary

Vanguard is seeking an ML Engineering Manager to lead a high-performing team responsible for building, operating, and evolving production AI, ML, and GenAI solutions across Personal Wealth Technology. You will partner with Data Scientists, Product Owners, Architects, and ISG teams to translate research into scalable production systems.

This is a highly technical leadership role with hands-on participation in architecture, design, and Agile delivery while developing the next generation of AI

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.

Responsibilities

• Lead a team of Machine Learning Engineers delivering scalable, secure, reliable 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.
• Hire, coach, mentor, and develop future technical leaders.

Skills

People leadership

Production AI/ML

Cloud-native engineering

Stakeholder collaboration

MLOps familiarity

Education

Bachelor’s degree or higher

Graduate degree preferred

Job description

Vanguard is seeking an ML Engineering Manager to lead a high-performing team responsible for building, operating, and evolving production AI, ML, and GenAI solutions across Personal Wealth Technology. You will partner with Data Scientists, Product Owners, Architects, and ISG teams to translate research into scalable production systems.

This is a highly technical leadership role with hands-on participation in architecture, design, and Agile delivery while developing the next generation of AI