AI/ML Engineer

Archer; Philadelphia (Philadelphia County); Hybrid; USD 140,000 - 200,000; Full time

Job summary

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 professionals 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. Based in the Philadelphia area with a hybrid work model, you will design, prototype, and implement scalable

Qualifications

• Undergraduate degree in computer science, ML/AI or related field.
• 5-8 years of AI/ML engineering or software development experience.
• Solid Python programming skills; experience with AWS cloud environment, GitHub pipelines, CI/CD concepts.

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.
• Collaborate with senior engineers and data scientists on feature development and experiments.
• Participate in code reviews, testing, and documentation for quality and reliability.

Skills

Python

AI/ML engineering

Software development

Problem solving

Agentic frameworks

Education

Bachelor's degree in Computer Science / ML / AI

Tools

GitHub pipelines

AWS

CI/CD

Vector databases

Data pipelines

Retrieval systems

Job description

Archer is collaborating with Vanguard to connect them with exceptional professionals for this role.

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

• Undergraduate’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, experience with AWS cloud environment, Github pipeline, CI/CD concept and IT domain knowledge
• Hands-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 Qualifications

• Hands-on experience across multiple technology stacks including Java Spring framework, React, Rust, and Go
• Contributions to open-source AI/ML projects or agentic frameworks.
• Experience in building autonomous agents, RAG systems, or multi-agent workflows.

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.