Senior AI/ML Engineer — Autonomous IT Agents

Vanguard

Malvern (Chester County)

Hybrid

USD 130,000 - 190,000

Full time

14 days+

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Job summary

Vanguard is seeking a senior AI/ML Engineer to build agentic systems for IT operations and resilience. You will work with senior data scientists to develop multi-agent platforms and retrieval-augmented generation pipelines.

The ideal candidate has 5-8 years in AI/ML engineering, strong Python skills, and experience with TensorFlow/PyTorch. A Master’s degree is required, and a hybrid work model is offered.

Qualifications

  • Master's degree in computer science, ML, AI or related field.
  • 5-8 years of AI/ML engineering or software development experience.
  • Strong Python programming and ML framework knowledge (TensorFlow, PyTorch, scikit-learn).
  • Familiarity with LLMs and agentic principles.
  • Experience with vector databases, data pipelines and retrieval systems.
  • Strong problem-solving skills and eagerness to learn new AI techniques.

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 development and testing of robust, scalable agentic architectures and infrastructure.
  • Collaborate with senior engineers and data scientists in feature development and experiments.
  • Participate in code reviews, testing, and documentation to ensure quality and reliability.

Skills

Python
LLMs
Vector databases
Data pipelines
Agentic principles
Problem solving

Education

Master’s degree in CS/ML/AI

Tools

TensorFlow
PyTorch
scikit-learn
Agent frameworks

Job description

Vanguard is seeking a senior AI/ML Engineer to build agentic systems for IT operations and resilience. You will work with senior data scientists to develop multi-agent platforms and retrieval-augmented generation pipelines.

The ideal candidate has 5-8 years in AI/ML engineering, strong Python skills, and experience with TensorFlow/PyTorch. A Master’s degree is required, and a hybrid work model is offered.

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