AI/ML Engineer

ResponsibilitiesDesign, 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 & ExperienceUndergraduate’s degree in computer science, Machine Learning, Artificial Intelligence, or a related field.5-8 years of experience in AI/ML engineering or software developmentSolid Python programming skills, experience with AWS cloud environment, Github pipeline, CI/CD concept and IT domain knowledgeHands-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 QualificationsHands-on experience across multiple technology stacks including Java Spring framework, React, Rust, and GoContributions to open-source AI/ML projects or agentic frameworks.Experience in building autonomous agents, RAG systems, or multi-agent workflows.Special FactorsSponsorshipVanguard is not offering visa sponsorship for this position.About VanguardAt 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 WorkVanguard 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.SummaryLocation: Malvern, PA; Philadelphia, PA; Charlotte, NCType: Full time