Sr. AI/ML & Generative AI Architect

The Sr. AI/ML & Generative AI Architect provides the most senior level IT technical lead services, including the direction, evaluation, selection, configuration, implementation, and integration of new and existing technologies and tools across a breadth of platforms. Often providing direction across multiple teams.

Play an influential and instrumental role in driving AI/ML and Generative AI vision, strategy, and architecture. You will work closely with stakeholders to understand business requirements and identify opportunities for automation, leveraging emerging technologies to optimize processes and drive efficiency. As a GenAI-focused Enterprise Architect, you will be pivotal in transforming our enterprise architecture to support a robust and scalable framework.

Experience in developing ML models in AWS and knowledge of Generative AI, LLMs, infrastructure, different use case patterns, and experience in using the tech stack is a must.

Core Responsibilities

1. Assesses business requirements and the architectural framework of Artificial Intelligence/Machine Learning and Generative AI (GenAI) solutions to meet business needs, with internal and external clients and partners.

2. Builds the deployment plan for highly scalable and secure Artificial Intelligence and GenAI platforms, applications, and systems that run in various cloud infrastructures and Artificial Intelligence devices successfully.

3. Applies architecture specification and documents technical and configuration for all users (customers, engineering teams, product teams); resolves Artificial Intelligence/Machine Learning/GenAI solution deployment issues.

4. Builds relationships with trusted advisory stakeholder relationships, and acts as a SME for Artificial Intelligence/Machine Learning/GenAI related products and services in specific verticals; staying current on the latest Artificial Intelligence/Machine Learning technologies and tools.

5. Applies moderately complex machine learning algorithms and technologies into organizational practices, such as regression models.

6. Analyzes the statistical analyses on business and processes using machine learning techniques to find out opportunities for business development and process improvement.

7. Performs the A/B testing tasks and initiatives on statistical models, machine learning algorithms and systems.

8. Optimizes statistical models continuously to achieve best performance of machine learning algorithms.

9. Validates business problems and needs; ensures appropriate AI technologies and tools are utilized to solve problems.

10. Evaluates various LLMs, use case patterns, and GenAi tech stack to develop the future state architecture for CAI.

11. Leads a team of ML Engineers to implement the solutions in compliance with Vanguard standards.

12. Ensures AWS Cost is managed by periodically assessing and generating reports to the Sr. Management

13. Pilots AI models and prototype applications; evaluates whether business challenges are addressed.

14. Performs code reviews, optimizes algorithms and models and conducts experiments to ensure the functionality and performance of AI products or solutions.

15. Participates in special projects and performs other duties as assigned.

Qualifications

• Minimum of eight years related work experience, with at least three years of technology architect experience.
• Undergraduate degree or equivalent combination of training and experience. Graduate degree preferred.

Special Factors

Sponsorship

Vanguard is not offering visa sponsorship for this position.

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.