AI Governance & Explainability Engineer / Remote

Job Title : AI Governance & Explainability Engineer

Job Purpose This role 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.

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 AI policies, standards, and Responsible AI principles into:

Technical guardrails

Automated checks

Required evidence artifacts.

CI/CD release gates

Implement governance as code and automation, eliminating reliance on manual or

after-the-fact reviews.

AI Governance, Explainability & Human Oversight

Advise solution teams on explainability requirements for automated, semi

automated, and decision-support AI systems.

Ensure human-in-the-loop (HITL) controls are implemented where required by risk

level or use case.

Define, Generate, And Manage Explainability Outputs That Are Appropriate to the end-user or reviewer persona

Aligned to the decision context and operational use.

Document explainability assumptions, limitations, and residual risk as governance

evidence.

Metadata, Lineage & Governance Evidence Management

Operationalize AI Governance in Microsoft Purview by registering and maintaining:

AI models, features, prompts, agents, notebooks, and pipelines

Maintain End To End Lineage Across Data features models inferences outputs

Apply ownership, stewardship, sensitivity, and classification metadata.

Ensure Governance Is Maintained Discoverable

Versioned

Traceable

Audit-defensible

GenAI & Agentic AI Governance Enablement

Apply governance patterns to LLMs, RAG, and Agentic AI solutions.

Ensure governance traceability when synthetic data or augmented data is used for

training, testing, or evaluation.

Implement Agentic AI Lifecycle Governance, Including Observability of agent actions, deviations, and failures

Oversight of planning, reflection, and tool-use behavior

Controls on autonomous vs. constrained operation Enable GenAI explainability,

Including Retrieval transparency for RAG (sources, relevance)

Inference context documentation.

Decision trace generation where applicable

Explainability, Interpretability & Model Risk Controls

Own and operate explainability capabilities used for governance, audit, and trust.

Implement And Operationalize Techniques Such As Feature attribution (e.g., SHAP or equivalent)

Driver and proxy detection

Global and local model explanations

Identify bias signals, risk indicators, and explainability gaps.

Store and manage explainability and observability outputs as governed, audit-ready

artifacts.

Support audit, compliance, and risk review activities with defensible evidence.

Monitoring, Observability & Incident Readiness

Define and implement AI monitoring metrics, alerts, and thresholds for:

Performance degradation

Bias and ethical risk indicators

Drift and instability.

Partner with MLOps and platform teams to integrate monitoring into production

pipelines.

Support AI incident response and post-incident reviews with governance evidence.

Ensure all observability outputs are retained, traceable, and audit ready.

Governance Checkpoints & Release Gating

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