Vanguard Group, Inc.
• $175K — $210K *Qualifications
Responsibilities
Benefits
Role Overview
The Head of Applied AI Research &Development serves as the strategic leader responsible for operationalizing advanced AI research into enterprise-ready capabilities. This leader oversees multidisciplinary teams of applied AI/ML researchers, machine learning engineers, and AI platform specialists focused on delivering scalable AI solutions that directly impact Vanguard’s products, operations, and client experience.
The role combines technical leadership, product strategy, and organizational influence to accelerate AI adoption across the enterprise. Working closely with AI Research, AI Product, Engineering, Data, and business organizations, this leader establishes the frameworks, methodologies, and delivery mechanisms required to transform novel AI techniques into robust enterprise capabilities.
Success in this role requires balancing long-term innovation with near-term execution while building reusable AI platforms that continuously improve through enterprise knowledge, evolving data, and organizational learning.
Core Responsibilities
Qualifications
- PhD or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, Statistics, Mathematics, Electrical Engineering, Cognitive Science, Management Science or a related discipline.
- 7+ years of experience leading Applied AI, Machine Learning, AI Engineering, or AI Platform teams within industry or research environments.
- Proven experience delivering applied AI capabilities which are repeatable across research or industry settings
- Deep expertise in large language models, foundation models, agentic AI, machine learning systems, reinforcement learning, retrieval systems, reasoning architectures, knowledge representation, or advanced AI applications.
- Experience designing AI systems capable of contextual understanding, sequential reasoning, adaptive decision-making, memory-aware architectures, or complex workflow orchestration
- Strong understanding of modern AI development lifecycles including experimentation, evaluation, deployment, monitoring, and continuous improvement
- Experience building enterprise AI solutions, model governance processes, evaluation frameworks, and scalable ML models
- Hands-on expertise with modern ML frameworks including PyTorch, TensorFlow, Hugging Face, distributed training, and cloud AI platforms
-Demonstrated ability to lead large, multidisciplinary AI initiatives spanning research, academic, business organizations across both industry or research environments
- Exceptional executive communication skills with experience influencing senior leadership and enterprise strategy
Special Factors
Sponsorship
Vanguard is not offering visa sponsorship for this position.Similar Jobs




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