Job Description

Job Description

We are seeking a highly experienced and technically proficient Senior AI Domain Architect to lead the design and implementation of advanced AI and analytics solutions for Vanguard. The candidate will work closely with counterparts in the Center for Analytics and Insights (CAI) in enabling platforms for development, deployment and monitoring Generative AI and Machine Learning solutions. A key responsibility of the candidate will be to lead the evaluation and standardization of new AI/ML platforms (e.g. Databricks). This role is pivotal in shaping the future of AI architecture across the enterprise, with a strong focus on hands-on development, cross-functional collaboration, and strategic influence on product and platform evolution.

Key Responsibilities:

• Lead the development of scalable, secure, and high-performance AI/ML architectures for CAI priority projects. Provide architectural oversight and technical direction throughout the project lifecycle.

• Conduct architecture reviews for CAI projects targeted for production deployment. Identify architectural gaps and propose actionable strategies to address them.

• Collaborate closely with Model Development, Model Operations, Model Governance, and GPT teams. Influence product managers and architects to align roadmaps with CAI project needs and close identified gaps.

• Partner with Domain and Chief Architects to evolve EDO’s architecture strategy, including: (a) Agentic Generative AI Architecture (b) SageMaker Unified Studio implementation

• Lead technical evaluations of emerging data and analytics platforms such as Databricks and recommend adoption strategies.

• Actively participate in daily scrum meetings, offering technical consulting and guidance to project teams.

• Dedicate at least 30% of the time to hands-on coding, prototyping, and development of AI/ML solutions.

• Perform code and design reviews to ensure adherence to best practices and architectural standards.

Qualifications:

• Strong experience with AWS and Cloud Infrastructure (AI/ML cloud infrastructure) and CI/CD development

• Experience evaluating vendor products and standardization of the technology

• 8 years related work experience within AI/ML space

• 3 years of technology architect or technical lead experience.

• Experience with SageMaker, and modern MLOps practices.

• Familiarity and experience with generative AI frameworks and agent-based architecture.

Preferred Skills:

• Machine Learning model development experience is preferred.

• Experience with Databricks, Snowflake, or similar analytics platforms.

• Knowledge of model governance and regulatory compliance in AI.

• Graduate degree preferred.

• Undergraduate degree or equivalent combination of training and experience.

• Excellent communication, leadership, and stakeholder management skills.

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.

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