AI Engineer

Job Title: AI Engineer

Location: Malvern, PA

Job Description

We are seeking an experienced AI Engineer to design, develop, and deploy enterprise-grade AI solutions that enhance Vanguard's Service Experience and Financials platforms. The ideal candidate will have strong expertise in Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AWS Bedrock, Amazon SageMaker, and Python, with experience building scalable AI applications in cloud environments.

Required Skills

• 8 years of software engineering experience with 3 years in AI/ML Engineering.
• Strong proficiency in Python.
• Hands-on experience building production-grade AI/ML applications.
• Experience with Generative AI, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG).
• Strong knowledge of AWS Bedrock and Amazon SageMaker.
• Experience with Vector Databases, Embedding Models, and Knowledge Graphs.
• Experience deploying AI applications on AWS Cloud.
• Strong understanding of distributed systems and scalable backend architectures.
• Experience implementing CI/CD pipelines and GitHub Actions.
• Excellent communication and stakeholder management skills.

Preferred Skills

• Experience with LangGraph, CrewAI, AutoGen, or Semantic Kernel.
• Experience with Databricks and Databricks Genie.
• Knowledge of Azure OpenAI or Google Vertex AI.
• Experience implementing Responsible AI frameworks.
• Financial Services, Banking, FinTech, or Asset Management experience.
• Experience building AI Copilots, intelligent assistants, or recommendation engines.
• Hands-on experience with Docker, Kubernetes, and cloud-native microservices.
• AWS AI/ML Certifications.

Responsibilities

• Design, develop, and deploy enterprise AI applications using Python, AWS Bedrock, and Amazon SageMaker.
• Build and optimize RAG-based solutions using vector databases and embedding models.
• Develop AI-powered assistants and intelligent automation solutions using LLMs.
• Architect semantic layers and knowledge graph solutions for AI-ready data platforms.
• Build scalable AI services and APIs following cloud-native best practices.
• Collaborate with data engineering and business teams to integrate AI capabilities into enterprise applications.
• Execute AI Proof of Concepts (POCs) and evaluate emerging AI technologies.
• Implement CI/CD pipelines and maintain AI model deployment workflows using GitHub Actions.
• Ensure AI solutions meet security, scalability, and performance standards.
• Provide technical leadership and contribute to AI best practices across the organization.