We are seeking an experienced Infrastructure Architect to join our Infrastructure Operations team, with a focus on AI Operations. The Infrastructure Operations Architect is a strategic role to lead the vision, future direction, and initiative roadmap for Artificial Intelligence in Operations. As an Infrastructure Architect, you will play a critical role in designing, implementing, and maintaining the infrastructure that supports our AI and machine learning initiatives. You will work closely with our AI and data science teams to ensure seamless integration of infrastructure and applications and drive the adoption of cutting-edge technologies.

**This Hybrid Role (in-office Tues-Wed-Thurs) is based in Wayne, PA**

In this role you will:

• Design, implement, and maintain large-scale infrastructure solutions to support AI and machine learning workloads.
• Collaborate with AI and data science teams to ensure infrastructure meets application requirements.
• Develop and maintain technical documentation and standards for infrastructure configurations and procedures.
• Stay up-to-date with industry trends and emerging technologies, applying this knowledge to continuously improve our infrastructure
• Lead cross-functional teams to deliver infrastructure projects and initiatives.
• Ensure high availability, performance, and security of infrastructure solutions.
• Develop and manage budgets, forecasts, and resource plans to support infrastructure operations
   

What it takes:

Bachelor's degree in Computer Science, Information Technology, or a related field, preferred but not required

Minimum of 8-10+ years of experience in infrastructure operations/engineering experience, with a focus on AI and machine learning
Strong knowledge of infrastructure operations and it’s technologies, including compute, storage, and networking
Experience with AI and machine learning platforms
Strong understanding of cloud computing platforms, such as AWS or Azure
Excellent problem-solving and analytical skills, with the ability to work effectively in a fast-paced environment

Additional qualifications that make an impact:

Deep understanding/application of Artificial Intelligence

Experience with containerization technologies, such as Docker

Knowledge of DevOps practices and tools, such as Jenkins and Ansible

Experience with agile development methodologies and iterative development

Understanding of the current technologies leveraged in the IT Operations space

Deep understanding/application of Artificial Intelligence

Experience with data and analytics as well as data usage and appropriate controls

Special Factors

Sponsorship

About Vanguard

We are Vanguard. Together, we’re changing the way the world invests.

For us, investing doesn’t just end in value. It starts with values. Because when you invest with courage, when you invest with clarity, and when you invest with care, you can get so much more in return. We invest with purpose – and that’s how we’ve become a global market leader. Here, we grow by doing the right thing for the people we serve. And so can you.

We want to make success accessible to everyone. This is our opportunity. Let’s make it count.

Inclusion Statement

Vanguard’s continued commitment to diversity and inclusion is firmly rooted in our culture. Every decision we make to best serve our clients, crew (internally employees are referred to as crew), and communities is guided by one simple statement: “Do the right thing.”

We believe that a critical aspect of doing the right thing requires building diverse, inclusive, and highly effective teams of individuals who are as unique as the clients they serve. We empower our crew to contribute their distinct strengths to achieving Vanguard’s core purpose through our values.

When all crew members feel valued and included, our ability to collaborate and innovate is amplified, and we are united in delivering on Vanguard's core purpose.

Our core purpose: To take a stand for all investors, to treat them fairly, and to give them the best chance for investment success.

How We Work

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.