Domain Architect- AI/ML, Senior Specialist

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

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.

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.