Responsibilities
- Design, prototype, and implement agentic systems for IT automation and resilience using LLMs and agent frameworks
- Develop multi-agent workflows and coordinate agent collaboration for complex tasks.
- Build and optimize retrieval-augmented generation 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
- Undergraduate’s degree in computer science, Machine Learning, Artificial Intelligence, or a related field.
- 5-8 years of experience in AI/ML engineering or software development
- Solid Python programming skills, experience with AWS cloud environment, Github pipeline, CI/CD concept and IT domain knowledge
- Hands-on experience with agentic frameworks.
- 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 across multiple technology stacks including Java Spring framework, React, Rust, and Go
- 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.
Skills Required
- Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or related field.
- 5-8 years of experience in AI/ML engineering or software development.
- Solid Python programming skills.
- Familiarity with ML frameworks: TensorFlow, PyTorch, scikit-learn.
- Knowledge of LLMs and agentic principles.
- Experience with vector databases, data pipelines, and retrieval systems.
- Strong problem-solving skills and eagerness to learn new AI techniques and frameworks.
- Hands-on experience with agentic frameworks.
- Familiarity with AWS cloud platforms and MLOps tools.
- Contributions to open-source AI/ML projects or agentic frameworks.
- Experience building autonomous agents, RAG systems, or multi-agent workflows.
Vanguard Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Vanguard and has not been reviewed or approved by Vanguard.
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Retirement Support — Retirement support appears unusually strong through a 401(k) design that includes a match plus an additional employer contribution, which can materially lift long-term total rewards. HSA seeding and an enhanced employer match further strengthen the savings-and-benefits value of the package.
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Wellbeing & Lifestyle Benefits — Wellbeing and lifestyle support is reinforced by a sizable annual FlexFund stipend that can be applied across many day-to-day categories such as fitness, childcare, and other personal expenses. On-site or virtual clinics and fitness options add practical health and wellness convenience.
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Affordable Benefits — Healthcare and related benefits are positioned as comparatively affordable via heavily subsidized medical plans and broad coverage options. This affordability can offset moderate base pay for employees who place higher value on out-of-pocket cost reductions.
Vanguard Insights
What We Do
We are a community of 30 million who think – and feel – differently about investing. Together, we’re changing the way the world invests. Since our founding in 1975, helping our investors achieve their goals is our sole reason for existence. With no other parties to answer to and therefore no conflicting loyalties, we make every decision—like keeping investing costs as low as possible—with only your needs in mind. Vanguard is one of the world's largest investment companies, offering a large selection of high-quality low-cost mutual funds, ETFs, advice, and related services. Individual and institutional investors, financial professionals, and plan sponsors can benefit from the size, stability, and experience Vanguard offers. As of April 30, 2019, we managed more than $5.6 trillion in global assets. In addition, we have 189 funds in the United States and 225 funds in global markets. For Commenting Guidelines & Important information, visit here: http://vanguard.com/linkedin Vanguard Marketing Corporation, Distributor.
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