Principal Software Engineer - Agentic Validation, Trust & Evaluation

Set and own the enterprise strategy for Agentic Validation, Trust & Evaluation for Employee Compute, translating policy and risk expectations into practical validation and control mechanisms for AI-enabled employee workflows. 

Design and operationalize end-to-end evaluation frameworks for agentic capabilities, including pre-release validation, post-release monitoring, drift detection, and periodic control attestations. 

Build standardized trust criteria for AI-assisted outcomes such as identity integrity, authorization correctness, data-handling boundaries, provenance, explainability, and reproducibility of decisions and actions. 

Establish and govern quality gates and go/no-go decision practices for AI-enabled releases, ensuring evidence-based readiness across security, controls, resiliency, and operational support. 

Own the mandate that validation and control requirements are embedded in design and delivery lifecycles, with authority to block releases that fail to meet engineered-in control standards (controls engineered in, not retrofit after launch). 

Create and own KPI/OKR and scorecard structures for trust and evaluation outcomes, including control health, issue closure velocity, incident learnings, and model/tool performance against policy expectations. 

Own and personally attest to examiner-ready evidence packages and control-testing results presented at risk and control forums, including executive communication on material risks, decisions, and mitigations to senior technology and control leadership. 

Be accountable for approving or rejecting AI supplier capabilities for broad enablement, based on documented validation against internal standards and operational realities; retain sign-off authority and evidence of that decision. 

Ensure timely and transparent escalation of material control weaknesses, validation failures, and AI-risk incidents to senior leadership and relevant risk committees. 

Own the risk issues and corrective actions logged for the function in the firm’s risk system of record, ensuring accuracy, supporting evidence, and on-time remediation. 

Build, lead, and develop a high-performing team of validation and controls practitioners with strong technical fluency and disciplined risk-management execution, including managing managers and senior individual contributors. 

Be accountable for control-culture outcomes within the function — where trust, control integrity, and speed coexist through clear standards, automation, and continuous improvement — evidenced by control-testing results, issue-closure performance, and audit/examiner feedback.