Overview
On Site
Full Time
Skills
Technical Direction
Project Lifecycle Management
Roadmaps
Scrum
IT Consulting
Prototyping
Design Review
Amazon Web Services
IaaS
Continuous Integration
Continuous Delivery
IT Management
Amazon SageMaker
Machine Learning Operations (ML Ops)
Generative Artificial Intelligence (AI)
Machine Learning (ML)
Databricks
Snow Flake Schema
Analytics
Regulatory Compliance
Artificial Intelligence
Training
Communication
Leadership
Stakeholder Management
Finance
Collaboration
Job Details
Key Responsibilities:
Qualifications:
Preferred Skills:
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.
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.
- 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
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.
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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.