Senior AI/ML Engineer — Enterprise GenAI & MLOps

Vanguard; Malvern (Chester County); Hybrid; USD 180,000 - 230,000; Full time

Job summary

Vanguard's Corporate Services division is seeking a Machine Learning/AI Engineer to design, build, and scale enterprise AI/ML solutions across the company. You will partner with business stakeholders and engineers to translate challenges into data-driven solutions.

The role emphasizes production-grade deployments on AWS, MLOps, knowledge graphs, Generative AI, and governance. You will mentor teammates and stay current with emerging AI technologies, delivering reliable, scalable AI applications.

Qualifications

• Bachelor's degree in a technical field.
• 6+ years of experience in ML/DS/engineering.
• 3+ years building scalable data pipelines and ETL using AWS.
• Strong Python and software engineering practices.
• Production-grade AI solution delivery in cloud environments (AWS preferred).

Responsibilities

• Design, develop, and deploy end-to-end AI/ML solutions.
• Build scalable, cloud-native AI apps using AWS tech (SageMaker, ECS, Lambda, S3).
• Develop ML pipelines for batch and real-time workloads.
• Design and implement Generative AI using LLMs, vector databases, and knowledge retrieval systems.
• Partner with stakeholders to translate business problems into AI solutions.
• Establish data lineage, data quality, and monitoring for models.
• Ensure governance, security, and Responsible AI compliance.

Skills

Python

Machine Learning

Data Engineering

Software Engineering

AWS

SageMaker

MLOps

Docker

Kubernetes

Generative AI

LLMs

Data pipelines

Education

Bachelor's degree in Computer Science, Engineering, Data Science, Mathematics, or related field

Master's degree preferred

Tools

Docker

Kubernetes

SageMaker

EventBridge

Lambda

S3

EC2

CI/CD pipelines

Job description

Vanguard's Corporate Services division is seeking a Machine Learning/AI Engineer to design, build, and scale enterprise AI/ML solutions across the company. You will partner with business stakeholders and engineers to translate challenges into data-driven solutions.

The role emphasizes production-grade deployments on AWS, MLOps, knowledge graphs, Generative AI, and governance. You will mentor teammates and stay current with emerging AI technologies, delivering reliable, scalable AI applications.