Sr. Architect, AI Governance & Risk

This role spans three practical execution areas:

AI Principles & Governance Architecture

You will define Babel Streets AI Principles and build the governance operating system that turns principles into actionstandards controls documentation and release gates that are implementable by engineering teams and measurable in production.

AI Policy Intelligence RFI/RFP Enablement & Reporting Collateral

You will track and interpret emerging AI policy regulations and standards and assess their impact on Babel Streets products and business. You will translate these requirements into roadmap implications compliance strategies and customer-ready collateralenabling fast consistent responses to RFIs/RFPs security questionnaires audits and due diligence requests.

Responsible AI Assurance Across Safety Privacy Security Bias/Fairness & Transparency

You will own the assurance posture for Babel Street AIpartnering with Engineering Security Legal/Privacy and Product teams toensuresafety metrics privacy controls AI security testing bias/fairness evaluation practices and transparency artifacts (model/system cards) are defined implemented measured and maintained over time.

AI Strategy Policy Intelligence& Business Impact

• Create and operationalizeBabel Streets AIprinciples into enforceable engineering and product standards (e.g. secure-by-design patterns privacy boundaries oversight requirements transparency expectations).

• Monitoremerging AI policy regulatory andstandardsdevelopments relevant to Babel Street markets and customer segments.

• Partner with leadership to chart a pragmatic AI compliance and assurance strategy that supports growth and reduces friction in procurement cycles.

AI GovernanceProgram Design & Framework Development

• Define andmaintainBabel Streets AI governance framework byembedding AIprinciples into delivery workflows across the development lifecycle.

• Partner with Engineering tomaintainan AI model/system inventory including third-party AI providers (e.g. GPT-4 Gemini Claude) integrations data touchpoints and output constraints.

• Define documentation standards for traceability: model lineage evaluation results monitoring plans limitations and intended/prohibited use.

Customer Assurance: RFI/RFP Response Due Diligence & Reporting

• Ensure Babel Street AI Principles are reflected consistently in customer-facing commitments product documentation training materials and reporting artifacts.

• Lead the companysresponsible AI posture inAI-focused RFI/RFP responses audit support and customer due diligenceensuring responses are consistent evidence-backed and defensible.

• Create a repeatable evidence program (what we collect how wemaintainit and how we produce it quickly and consistently).

Safety & Reliability (Partner: Engineering Product)

• Partner with Engineering to define safety metrics (reliability robustness response times bias correction etc..) and ensure these are tracked and measured in production

• Coordinate with Product toestablishpolicies and procedures for AI safety including documented response times for system failures

• Lead the development of AI-specific Incident Response Procedures (IRPs) in partnership with Security and Engineering teams ensuring readiness to address AI safety-related issues

Privacy & Data Handling (Partner: Legal/Privacy Engineering)

• Partner with Legal/Privacy to define and enforce AI privacy requirements including data minimization retention boundaries and third-party data protection

• Coordinate customer data usage positions: whether customer data is used for AI model training/improvement and ensure opt-out mechanisms are clearly documented and enforceable

• Lead privacy risk assessments for AI features and ensure data handling practices with third-party AI providers are documented and compliant (CCPA ISO 42001 relevant regulations)

Security & Audit (Partner: Security/CISO Engineering)

• Partner with Security (CISO) toestablishAI security requirements including access controls and employee/third-party access management to customer data

• Coordinate internal and external AI security audits that address AI-specific vulnerabilities (prompt injection jailbreaking etc.) with clear remediation processes

• Ensure output validation processes are in place toidentifyrisks of unreliable or harmful content

• 8 years of experience across governance risk security privacy compliance or systems architecture including 3 years supporting AI/ML-enabled systems in production.

• Demonstrated ability to translate governance requirements into implementable controls and engineering practices (not policy-only work).

• Strong understanding of AI governance frameworks and standards (e.g. NIST AI RMF ISO/IEC 42001 ISO/IEC 23894) and ability to translate requirements into organizational processes

• Experience producing customer-facing and audit-ready content: RFI/RFP responses control narratives assurance artifacts and executive-ready summaries

• Strong stakeholder management and influence skills;able to drive decisions build consensus andmaintainaccountability across multiple teams

• Excellent written and verbal communication skills;able to craft clear defensible positions for customers executives and internal teams

Education

Bachelorsdegreeorequivalent experiencein Computer Science Engineering Information Assurance Data Science Public Policy (with technical depth) or a related fieldrequired.