layiq

/la·yiq/adjective

worthy; deserving; fitting; suitable.

A role, opportunity, or path that merits attention, time, and pursuit.

LAYIQ - AI Engineer at Vanguard

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 team’s 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 engineer’s 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 Vanguard's 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.

AI Engineer

Employer job description

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

Responsibilities:

Qualifications:

Preferred Qualifications:

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