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.
Special Factors
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.
Skills Required
- 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
- Experience working in Agile delivery frameworks such as Scrum or SAFe
- Strong analytical, troubleshooting, and communication skills
- 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
Vanguard Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Vanguard and has not been reviewed or approved by Vanguard.
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Retirement Support — Retirement support appears unusually strong through a 401(k) design that includes a match plus an additional employer contribution, which can materially lift long-term total rewards. HSA seeding and an enhanced employer match further strengthen the savings-and-benefits value of the package.
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Wellbeing & Lifestyle Benefits — Wellbeing and lifestyle support is reinforced by a sizable annual FlexFund stipend that can be applied across many day-to-day categories such as fitness, childcare, and other personal expenses. On-site or virtual clinics and fitness options add practical health and wellness convenience.
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Affordable Benefits — Healthcare and related benefits are positioned as comparatively affordable via heavily subsidized medical plans and broad coverage options. This affordability can offset moderate base pay for employees who place higher value on out-of-pocket cost reductions.
Vanguard Insights
What We Do
We are a community of 30 million who think – and feel – differently about investing. Together, we’re changing the way the world invests. Since our founding in 1975, helping our investors achieve their goals is our sole reason for existence. With no other parties to answer to and therefore no conflicting loyalties, we make every decision—like keeping investing costs as low as possible—with only your needs in mind. Vanguard is one of the world's largest investment companies, offering a large selection of high-quality low-cost mutual funds, ETFs, advice, and related services. Individual and institutional investors, financial professionals, and plan sponsors can benefit from the size, stability, and experience Vanguard offers. As of April 30, 2019, we managed more than $5.6 trillion in global assets. In addition, we have 189 funds in the United States and 225 funds in global markets. For Commenting Guidelines & Important information, visit here: http://vanguard.com/linkedin Vanguard Marketing Corporation, Distributor.
