Senior Cloud & Agentic AI Engineer

Vanguard; Malvern (Chester County); Hybrid; USD 140,000 - 190,000; Full time

Benefits offered by this job

Hybrid work model

Job summary

Vanguard in Malvern, PA seeks an experienced Cloud/AI engineer to design and deliver AWS-based, scalable solutions. You will build reusable platform services, automate with IaC, and advance Agentic AI using Bedrock and LLMs. You will collaborate with product and engineering teams to drive high-value cloud use cases.

The role emphasizes secure, reliable, and well-governed deployments within a hybrid work environment that supports collaboration and on-site learning.

Qualifications

• Undergraduate degree in Computer Science, Information Technology, Software Engineering, Data Science, or equivalent experience.
• Five+ years designing and developing AWS-based solutions.
• Strong knowledge of cloud architecture, automation, CI/CD, containers, and DevOps.
• Proficiency in Python, Java, or Node.js.
• Experience building Generative AI apps using AWS Bedrock, LLMs, prompt engineering, and RAG.
• Experience integrating cloud/AI with enterprise apps, APIs, and data platforms.
• Experience with Agile (Scrum/SAFe) delivery.

Responsibilities

• Designs, develops, and supports AWS-based cloud solutions with IaC and CI/CD pipelines.
• Builds reusable platform services, APIs, and cloud-native components.
• Implements Agentic AI using AWS Bedrock, LLMs, and RAG frameworks.
• Integrates AI and cloud capabilities with enterprise platforms and data systems.
• Partners with product and engineering teams to deliver high-value cloud/AI use cases.
• Ensures security, governance, reliability, and performance standards.
• Participates in Agile ceremonies and continuous delivery practices.
• Monitors apps, resolves production issues, and documents engineering standards.

Skills

AWS

Programming (Python/Java/Node.js)

CI/CD

Agile

Gen AI / LLMs

Automation / IaC

Education

B.S. in CS/IT/SE/Data Science

Tools

Terraform

CloudFormation

AWS Bedrock

LangGraph or similar

RAG architectures

Job description

Provides advanced analysis, design, development, implementation, and support of cloud-native and AI-driven solutions that enable scalable, secure, and high-performing enterprise applications. Leverages deep expertise in AWS platform engineering, automation, and modern AI frameworks to deliver innovative products and services that enhance business outcomes and user experiences.

Responsibilities

• Designs, develops, and supports AWS-based cloud solutions using Infrastructure as Code (Terraform, CloudFormation), automation, and CI/CD pipelines.
• Builds reusable platform services, APIs, and cloud-native components that accelerate product delivery and improve operational efficiency.
• Designs and implements Agentic AI solutions using AWS Bedrock, large language models (LLMs), retrieval-augmented generation (RAG), and agent orchestration frameworks.
• Integrates AI capabilities, cloud services, and enterprise platforms to enable intelligent automation and enhanced user experiences.
• Partners with product, engineering, and business teams to identify and deliver high-value cloud and AI use cases.
• Ensures solutions meet security, governance, compliance, reliability, and performance standards.
• Participates in agile ceremonies, backlog refinement, sprint planning, and continuous delivery practices.
• Monitors applications and platforms, resolves production issues, and implements continuous improvements.
• Maintains technical documentation and contributes to engineering standards and best practices.

Qualifications

• Undergraduate degree in Computer Science, Information Technology, Software Engineering, Data Science, or equivalent experience.
• Five or more years of experience designing and developing solutions on AWS.
• Strong knowledge of cloud architecture, infrastructure automation, CI/CD, containerization, and DevOps practices.
• Proficiency in Python, Java, or Node.js.
• Experience building Generative AI applications using AWS Bedrock, LLMs, prompt engineering, and RAG architectures.
• 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.

Additional Qualifications

• AWS Certified Developer, Solutions Architect, or DevOps Engineer certification.
• Experience designing agentic AI workflows and multi-agent systems using LangGraph or similar frameworks.
• Experience with AI observability, evaluation frameworks, responsible AI practices, and governance controls.
• Experience with vector databases, knowledge retrieval systems, and advanced RAG implementations.
• Experience leveraging AWS Bedrock-hosted foundation models and AI-assisted development tools.
• Exposure to marketing technology platforms, customer engagement solutions, or digital experience ecosystems.

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.