Overview
On Site
Full Time
Skills
Research
Testing
Documentation
Computer Science
Software Development
Python
TensorFlow
PyTorch
scikit-learn
Vector Databases
Conflict Resolution
Problem Solving
LangChain
Amazon Web Services
Cloud Computing
Machine Learning Operations (ML Ops)
Open Source
Artificial Intelligence
Machine Learning (ML)
Workflow
Finance
Collaboration
Job Details
Responsibilities
Required Skills & Experience
Preferred Qualifications
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.
- Design, prototype, and implement agentic systems for IT automation and resilience using LLMs and agent frameworks (LangChain, LangGraph, etc.).
- Develop multi-agent workflows and coordinate agent collaboration for complex tasks.
- Build and optimize retrieval-augmented generation (RAG) pipelines for knowledge-driven agents.
- Contribute to the development and testing of robust, scalable agentic architectures and infrastructure.
- Collaborate with senior engineers and data scientists in feature development, experiments, and integration of research findings.
- Participate in code reviews, testing, and documentation to ensure quality and reliability.
Required Skills & Experience
- Master's degree in computer science, Machine Learning, Artificial Intelligence, or a related field.
- 1-3 years of experience (including internships or projects) in AI/ML engineering or software development.
- Solid Python programming skills and familiarity with ML frameworks
- (TensorFlow, PyTorch, scikit-learn).
- Knowledge of LLMs and agentic principles.
- Vanguard Internal Use Only Experience with vector databases, data pipelines, and retrieval systems.
- Strong problem-solving skills and eagerness to learn new AI techniques and frameworks.
Preferred Qualifications
- Hands-on experience with LangChain, LangGraph or similar agentic frameworks.
- Familiarity with AWS cloud platforms and MLOps tools.
- Contributions to open-source AI/ML projects or agentic frameworks.
- Experience in building autonomous agents, RAG systems, or multi-agent workflows.
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.