AI Governance & Explainability Engineer

DEPARTMENT

Data Insights and Innovation

JOB TITLE

AI Governance & Explainability Engineer

JOB CODE

AIGEE

REPORTS TO

Data Governance Lead

FLSA STATUS

Exempt

EMPLOYMENT TYPE

Full-Time

JOB PURPOSE

This role at Arbitration Forums is as unique as it is rewarding because of the AF IPAAL Values (Integrity, Passion, Accountability, Achievement, Leadership) and TRI Model (Trust, Respect, Inclusion).

The AI Governance & Explainability Engineer is a hands‑on technical role within the Data Governance team responsible for ensuring AI, GenAI, and Agentic AI solutions are explainable, governable, auditable, and production‑ready.

This role embeds governance directly into the AI technology stack, translating policies, regulatory expectations, and risk requirements into technical controls, automated checks, standardized artifacts, and release gates across the AI lifecycle.

The role combines AI/ML engineering depth, GenAI & Agentic AI design knowledge, and governance discipline to ensure AI solutions deliver explainability, can be trusted, defended, and audited in production, particularly within the Microsoft Fabric and Purview ecosystem.

DEPARTMENTAL EXPECTATION OF EMPLOYEE

Adheres to AF Policy and Procedures and the AF IPAAL Values and TRI Model

* Acts as a role model within and outside AF. * Performs duties as workload necessitates. * Maintains a positive and respectful attitude. * Communicates regularly with the departmental leader about department issues. * Demonstrates flexible and efficient time management and ability to prioritize workload. * Consistently reports to work on time, prepared to perform duties of the position. * Meets Department productivity standards. ESSENTIAL DUTIES AND RESPONSIBILITIES

* AI Governance by Design Engineering (Execution Focus not Policy writing) + Embed governance, explainability, and risk controls directly into AI, GenAI, and Agentic AI workflows + Translate enterprise...