AI Platform Engineer

About this role

ABOUT US

Agilify is a minority, woman-owned boutique consultancy based in Baton Rouge, LA, growing its footprint across the Gulf South region. We deliver IT and business strategy, process optimization, technology implementation, and training services that drive measurable client outcomes. Our mission is to build a culture of inclusion, transparency, and accountability — creating value for both our team and our clients.

ROLE OVERVIEW

The AI Platform Engineer builds and hardens the core platform layers of an enterprise AI governance platform — access control, audit, orchestration, and connector infrastructure — that every AI agent operates within.

KEY RESPONSIBILITIES

• Build the core control-plane infrastructure enforcing separation between recommend, decide, and execute actions across all agents.
• Implement business-rule/guard-rail engines, risk-model registries, and configuration-governance workflows, including dual approval, versioning, and rollback.
• Build access-control and policy-enforcement layers (e.g., OPA/Cedar-style policy engines) scoped beyond native system-of-record roles.
• Implement immutable, hash-chained audit logging that satisfies enterprise compliance evidence requirements.
• Build the governed connector framework — staging, retry, and circuit-breaker logic — that mediates all writes back to systems of record.
• Stand up identity and workload-identity infrastructure (e.g., SPIFFE, Entra ID federation) for agent registration and authentication.
• Implement observability instrumentation (OpenTelemetry, tracing/spans) so every governed action is traceable end-to-end.
• Build and maintain the synthetic/test data environment and scenario/regression harness used to validate the platform independent of production systems.
• Collaborate with the Solutions Architect to keep the platform’s integration contract stable and backward-compatible as new agents onboard.
• Support infrastructure provisioning and deployment automation, including containeriza...