Responsibilities
- 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
- Masters degree in computer science, Machine Learning, Artificial Intelligence, or a related field.
- 13 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 missionwe'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.
