AI/ML Engineer
AI in this role
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.
How we rate this
AI/ML Engineer at Vanguard rates 95 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
Questions you could be asked
- How would you design a retrieval step so the model answers from real data instead of guessing?
- How do you decide when an AI agent can act on its own versus asking for approval first?
- How would you decide a model or AI system is ready to ship?
- Tell me about a time a model underperformed in production. How did you find out, and what did you change?
Adapt your resume
- List these exact terms on your resume: RAG and AI Agents. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped — this role is judged on the AI system itself, not the tools around it.
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