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, DevOps, MLOps, LLMOps, and FinOps 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 Requirements

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, FinOps, and agentic AI No visa sponsorship is offered for this position Core Competencies

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. Highest-signal resume keywords

Machine Learning Engineering Leadership Production AI/ML Systems Expertise MLOps, LLMOps, FinOps Knowledge Technical Direction and Architectural Guidance Stakeholder Relationship Management Hard Skills

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

Coaching and Mentoring Strategic Leadership Hands-On Technical Engagement Certifications & Qualifications

Undergraduate Degree or Equivalent Experience Industry Keywords

AI Solutions Financial Advice Portfolio Construction Explainable AI Scalable AI Solutions

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