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About the Role
The Enterprise AI & Research (EAiR) team is advancing AI capabilities by transforming research into enterprise-scale products. The Head of Applied AI Research & Development leads the translation of AI innovations into scalable platforms, intelligent systems, and production-ready capabilities to accelerate Vanguard’s strategic objectives.
Responsibilities
- Define and execute Vanguard’s Applied AI R&D strategy, aligning investments with long-term business objectives.
- Drive innovation across frontier AI domains, including foundation models, Large World Models (LWMs), agentic AI, and next-generation intelligent systems.
- Direct the development of applied AI architectures supporting reasoning, planning, simulation, and adaptive decision-making.
- Establish applied AI methodologies, standards, and evaluation frameworks for secure, governed, and trustworthy AI systems.
- Partner with business, product, engineering, and external research organizations to accelerate AI adoption and translate research into business value.
- Lead multidisciplinary AI research, engineering, and platform teams in translating advanced research into scalable, production-grade AI systems.
- Build and develop a world-class Applied AI organization by recruiting, mentoring, and growing talent while fostering a culture of excellence and innovation.
Requirements
- 7+ years of experience leading Applied AI, Machine Learning, AI Engineering, or AI Platform teams.
- Proven experience delivering repeatable applied AI capabilities.
- Deep expertise in large language models, foundation models, agentic AI, machine learning systems, or advanced AI applications.
- Experience designing AI systems capable of contextual understanding, sequential reasoning, or adaptive decision-making.
- Strong understanding of modern AI development lifecycles.
- Experience building enterprise AI solutions, model governance processes, 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.
- Exceptional executive communication skills with experience influencing senior leadership.
Skills
- Generative AI
- Agentic AI
- World Models
- Large World Models (LWMs)
- Cognitive AI Architectures
- Responsible AI
- Knowledge Systems
- Reasoning Systems
- Foundation Models
- Large Language Models
- Machine Learning Systems
- Reinforcement Learning
- Retrieval Systems
- PyTorch
- TensorFlow
- Hugging Face
- Distributed Training
- Cloud AI Platforms
Location
- Hybrid
Work Type
- Hybrid
- Full-time
Experience Level
- 7+ years of experience leading Applied AI, Machine Learning, AI Engineering, or AI Platform teams
Education Level
- PhD or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, Statistics, Mathematics, Electrical Engineering, Cognitive Science, Management Science or a related discipline.
About the Company
- Vanguard’s Enterprise AI & Research (EAiR) team is advancing the next generation of AI capabilities by transforming cutting-edge research into enterprise-scale products that create measurable value across the organization.
- 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.