Lead Cloud Engineer, Agentic AI

• Lead the design and development of enterprise-grade cloud, data, and AI solutions
• Develop Agentic AI applications leveraging Amazon Bedrock, LLMs, Retrieval-Augmented Generation (RAG), and agent orchestration frameworks
• Design intelligent search and knowledge retrieval solutions for enterprise content and information
• Build and optimize data pipelines, ETL processes, and cloud-native data platforms using AWS technologies
• Create reusable services, APIs, automation frameworks, and cloud-native engineering capabilities
• Drive architecture decisions and establish technical best practices across cloud and AI initiatives
• Implement infrastructure automation through Infrastructure as Code and modern Dev Ops practices
• Collaborate with product, engineering, and business partners to identify high-value AI and cloud opportunities
• Ensure solutions meet security, governance, scalability, reliability, and performance standards
• Mentor engineers and serve as a technical leader across multiple initiatives

• Minimum of eight years related work experience, with at least two years of development experience
• Undergraduate degree or equivalent combination of training and experience
• 5+ years of experience designing and developing solutions on AWS
• Strong knowledge of cloud architecture, infrastructure automation, CI/CD, containerization, and Dev Ops practices
• Proficiency in Python, Java, or Node.js
• Experience building Generative AI applications using AWS Bedrock, LLMs, prompt engineering, and RAG architectures
• Deep understanding of end-to-end ETL processes across diverse workflows
• Ability to guide the team with AWS data services such as Amazon S3, AWS Glue, and Amazon Athena
• Experience integrating cloud and AI solutions with enterprise applications, APIs, and data platforms
• Demonstrated experience working in Agile delivery frameworks such as Scrum or SAFe
• Strong analytical, troubleshooting, and communication skills
• AWS Certifications (Solutions Architect, Developer, or Dev Ops Engineer) preferred
• Experience with multi-agent architectures and agent orchestration frameworks preferred
• Experience with vector databases and advanced knowledge retrieval solutions preferred
• Experience with AI governance, observability, evaluation frameworks, and responsible AI practices preferred
• Adobe Experience Manager (AEM) experience preferred
• Power BI or enterprise reporting experience preferred
• Experience supporting communications, digital experience, content management, or customer-facing platforms preferred
• Vanguard is not offering visa sponsorship for this position

Demonstrates expertise in designing and developing enterprise-grade cloud and AI solutions, with a strong focus on AWS technologies, data pipelines, and infrastructure automation. Proven ability to lead teams, mentor engineers, and implement best practices in cloud architecture and Dev Ops.

• AWS Solution Design
• Generative AI Application Development
• Infrastructure Automation
• ETL Process Optimization
• Agile Delivery Frameworks

• Python
• Java
• Node.js
• Cloud Architecture
• CI/CD
• Containerization
• Data Pipeline Development
• Agent Orchestration
• Prompt Engineering
• Knowledge Retrieval Solutions

• Analytical Skills
• Troubleshooting
• Communication

• AWS Solutions Architect
• AWS Developer
• AWS Dev Ops Engineer

• Cloud Solutions
• AI Governance
• Observability
• Responsible AI Practices
• Agile Frameworks

• Amazon Bedrock
• AWS Glue
• Amazon S3
• Amazon Athena
• Power BI
• Adobe Experience Manager