AI Engineer

This role builds and supports the AI Powered Experiences teams conversational AI orchestration platforms and shared AI infrastructure. The engineer will help deliver production-ready GenAI solutions for Workplace Technology by combining hands-on development AI practitioner experience and partnership with product and engineering teams. The ideal candidate has experience building and deploying AI-powered solutions ideally including agent orchestration conversational AI or RAG and knowledge management systems on cloud-native infrastructure.

The role will include hands-on work across the following areas:

• Agent orchestration architecture and agent-to-agent (A2A) integration patterns

• Conversation history compliance and retention pipelines including WORM-based patterns

• Model governance and observability including Arize and evaluation frameworks

• Knowledge management and retrieval systems including RBAC and ingestion pipelines

• Model access patterns across multiple providers and model sizes

Responsibilities:

In this role you will be expected to balance hands-on engineering delivery with architecture input production support stakeholder partnership and responsible AI governance practices.

• Provides system analysis design development and implementation for the teams orchestration platform including agent registry health check and gatekeeper capabilities. Integrates third-party products and model observability tooling as part of scalable AI platform delivery.

• Translates technical specifications into code for complex new or enhancement projects for internal clients including conversation history and compliance pipelines segmentation API enhancements and agent onboarding templates. Develops tests and documents code artifacts and applies software development practices that support automated testing.

• Promotes code through development test and production environments for orchestrator services and platform infrastructure. Provides follow-up production support submits change control requests and maintains required documentation.

• Applies software development methodology and architecture standards for agent orchestration and cloud-native services. Resolves technical issues within the engineers area of expertise including performance and latency optimization.

• Participates in design code and test inspections throughout the life cycle to identify issues. Explains technical considerations at related meetings including those with internal clients. Performs systems analysis activities across conversation compliance model governance and knowledge management workstreams.

• Thoroughly understands client business functions and technology needs. Has a broad understanding of Vanguards technologies tools and applications including those that interface with business area and systems.

• Interfaces with cross-functional team members and communicates systems issues at the appropriate technical level for each audience.

• Thoroughly understands and complies with Information Technology and Information Security policies and procedures and verifies that deliverables meet requirements.

• Contributes to proof-of-concept prototyping and exploratory work that informs future AI platform capabilities.

• Participates in special projects and performs other duties as assigned.

Qualifications:

• Demonstrated software engineering experience in enterprise environments.

• Working knowledge of cloud-native infrastructure specifically AWS GitHub-based development workflows deployment pipelines

• Strong programming skills in languages such as Python JavaScript/TypeScript or similar.

• Demonstrated ability to work across technical and non-technical stakeholder groups.

• Strong verbal written and presentation communication skills.

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

• Undergraduate degree or equivalent combination of training and experience.

Preferred Qualifications:

• Experience building and delivering software or AI solutions involving agent orchestration conversational AI agent-to-agent or A2A protocols RAG knowledge management or semantic search systems.

• Exposure to multiple model providers and evaluation or observability tooling such as Arize or comparable platforms.

• Experience contributing to proof-of-concept prototyping or exploratory AI platform work that informs future capabilities.q

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.