Senior AI/ML Engineer
Vanguard•19h ago
United StatesHybridFull-timeSenior Level5+ yrs exp
Top focus
Ml Engineer
- Responsibilities Design, prototype
- 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
- integration of research findings. Participate in code reviews, testing
- documentation to ensure quality and reliability. Required Skills & Experience Master’s degree in computer science, Machine Learning, Artificial Intelligence
- a related field. 5-8 years of experience 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
- retrieval systems. Strong problem-solving skills and eagerness to learn new AI techniques and frameworks. Preferred Qualifications 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 in building autonomous agents, RAG systems
- 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
- 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.
Required skills
PythonPyTorchTensorFlowLLMRAGscikit-learnAWS