Senior AI/ML Engineer

Vanguard; Charlotte (NC); Hybrid; USD 140,000 - 190,000; Full time

Job summary

Vanguard is seeking a senior AI/ML Engineer to help build agentic systems for IT operations and resilience checking. You will work with senior data scientists and engineers to develop cutting-edge multi-agent platforms.

The role emphasizes Python programming, ML frameworks, and retrieval-augmented generation, with experience in vector databases and agent frameworks highly valued. A strong curiosity to learn new AI techniques is essential.

Qualifications

• Master's degree in computer science, machine learning, AI, or a related field.
• 5–8 years of experience in AI/ML engineering or software development.
• Strong Python programming skills with ML frameworks (TensorFlow, PyTorch, scikit-learn).
• Experience with LLMs and agentic principles.

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.

Skills

Python

ML frameworks

LLMs

Agentic concepts

Vector databases

Data pipelines

Education

Master's degree in CS/ML/AI or related field

Tools

TensorFlow

PyTorch

scikit-learn

Job 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.

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

• 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.

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, 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.