Senior Cloud & Agentic AI Engineer

Vanguard; Dallas (TX); Hybrid; USD 140,000 - 190,000; Full time

Job summary

Vanguard is seeking a senior cloud/AI engineer to design and implement AWS-based cloud solutions, focusing on IaC, CI/CD, and scalable platforms. You will build agentic AI workloads with Bedrock, LLMs, and RAG architectures while ensuring security and governance.

The role requires collaboration with product and engineering teams in a hybrid work environment to accelerate delivery of high-value cloud and AI use cases.

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.

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.

Skills

Analytical skills

Troubleshooting

Communication skills

Agile delivery

Scrum/SAFe

Education

Undergraduate degree in Computer Science/IT/Software Engineering/Data Science

Tools

Terraform

CloudFormation

CI/CD pipelines

AWS Bedrock

LangGraph

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.