Lead Cloud & Agentic AI Engineer

Summary

Are you passionate about building intelligent systems that transform how organizations discover access and leverage information

Vanguard is seeking a Lead Agentic AI Engineer to help drive the next generation of AI-powered experiences supporting our Corporate Communications and enterprise digital this highly visible technical leadership role youll combine expertise in cloud engineering data engineering and Generative AI to build scalable solutions that enhance search automation knowledge discovery and user experiences across the organization.

Youll work at the intersection of AWS cloud technologies enterprise data platforms and emerging Agentic AI capabilities delivering innovative solutions that enable the business to unlock greater value from information and AI-driven insights. This role offers the opportunity to shape architecture influence technical strategy and help establish future Agentic AI capabilities across the organization.

Responsibilities

• 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 that improve how users interact with 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 DevOps 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

Qualifications

• Minimum of eight years related work experience with at least two years of development experience.

• Undergraduate degree or equivalent combination of training and experience. Graduate degree preferred.

• 5 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 .

• 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 with the 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.

Preferred Qualifications:

• AWS Certifications (Solutions Architect Developer or DevOps Engineer).

• Experience with multi-agent architectures and agent orchestration frameworks.

• Experience with vector databases and advanced knowledge retrieval solutions.

• Experience with AI governance observability evaluation frameworks and responsible AI practices.

• Adobe Experience Manager (AEM) experience.

• Power BI or enterprise reporting experience.

• Experience supporting communications digital experience content management or customer-facing platforms.

Special Factors

Sponsorship

About Vanguard

At Vanguard we dont just have a missionwere 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.