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Responsibilities:

+ Assesses business requirements and the architectural framework of Artificial Intelligence/Machine Learning solutions to meet business needs, with internal and external clients and partners.

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

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

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

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

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

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

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

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

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

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

+ 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.

+ AI ML Model development and production deployment

+ GenAI Architecture and Engineering, Application deployment

+ AWS, MLOPs, Gen AI Ops, LLMOps

+ System Architecture, Specialty Scalable and High performing and cost effective AI Systems

+ 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

At Vanguard, we don't just have a mission—we're on a mission.

To work for the long-term financial wellbeing of our clients. To lead through product and services that transform our clients' lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne, our mission drives us forward and inspires us to be our best.

Our commitment to diversity, equity, and inclusion

Vanguard’s commitment to diversity, equity, and inclusion (DEI) is central to our ability to deliver on our mission. We aspire to create a work environment that is inclusive, equitable, and diverse—one that enables our employees, whom we call crew, to thrive and bring their best selves to work every day on behalf of our clients.

Cultivating DEI lifts our entire organization, and everyone shares accountability for our progress—from our senior leaders who lay the foundation and set the example for inclusive behaviors to crew who are growing in their personal DEI learning experiences.

Together, we’re on a mission. We are fueled by the value of diverse voices and connected through friendships and a culture of care—for our clients, our communities, and each other.

Vanguard’s DEI journey has no finish line. Our commitment is enduring, and we remain focused on the path ahead. To learn more about Vanguard goals and progress toward DEI, download our Diversity, Equity, and Inclusion Report (https://corporate.vanguard.com/content/corporatesite/us/en/corp/who-we-are/we-care-about/diversity-equity-inclusion.html) .

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.