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# Senior AI/ML Engineer

- **Company:** Vanguard
- **Location:** Philadelphia, PA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Automated Storage and Retrieval Systems, Code Review, Information Technology Operations, Python (Programming Language), Machine Learning, Open Source Technology, Tensorflow, Software Engineering, Pytorch, Retrieval-Augmented Generation, Large Language Models, Multi-Agent Systems, Deep Learning, Scikit Learn, Information Technology, Machine Learning Operations, Data Pipelines
- **Published:** August 8, 2026
- **Apply:** http://www.vanguardjobs.com/job/23341904/senior-ai-ml-engineer-philadelphia-pa/?utm_medium=%22mcloud%2Djobads%22&utm_campaign=Data%20%26%20Analytics&utm_content=Senior%20AI%2FML%20Engineer&utm_term=175859

## About the Role

* Master'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 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., * 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, or multi-agent workflows.

## Description

Vanguard is seeking a talented and motivated senior AI/ML Engineer to join our team in building agentic systems for IT operations and resilience checking. This role is ideal for early-career professionals who are passionate about AI, autonomous agents, and advanced machine learning techniques. You will work alongside senior data scientists and engineers to develop cutting-edge multi-agent platforms., * 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.


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