Sr. Architect, AI Governance & Risk

Overview

Babel Street is the trusted technology partner for identity intelligence and risk operations. We deliver AI and data analytics solutions that provide analysis-ready data, proactive risk identification, 360-degree insights, high-speed automation, and seamless integration into existing systems. Babel Street empowers government and commercial organizations to transform high-stakes identity and risk operations into a strategic advantage. We safeguard lives and protect critical assets worldwide.

Babel Street is headquartered in Reston, Virginia, with offices in Boston, MA and Cleveland, OH, and international offices in Australia, Canada, Israel, Japan, and the U.K. For more information, visit

As the Senior Architect of AI Governance & Risk, you will lead the design and operationalization of Babel Street’s AI trust framework across safety, privacy, security, bias/fairness, and transparency. You will ensure our AI-enabled products—spanning LLM-powered workflows, agentic systems, and multimodal capabilities—are built and deployed with measurable controls, defensible documentation, and audit-ready evidence.

A core part of this role is to create, institutionalize, and operationalize Babel Street AI Principles—and translate them into the policies, engineering standards, delivery gates, customer assurances, and reporting artifacts that guide how we build and deploy AI across the company.

This role requires extensive partnership with Product, Engineering, Security (CISO), Legal/Privacy, and Customer Success teams. You will serve as the connective tissue between these functions, ensuring governance requirements are understood, adopted, and embedded into the AI lifecycle—from design through production monitoring and incident response.

The ideal candidate is execution-oriented with a focus on customer-facing outcomes. You will translate emerging AI policy and customer requirements into concrete engineering controls and reusable collateral that accelerates RFI/RFP responses, supports due diligence, and reduces risk without slowing product velocity.

This role spans three practical execution areas:

• You will define Babel Street’s AI Principles and build the governance operating system that turns principles into action—standards, controls, documentation, and release gates that are implementable by engineering teams and measurable in production.
• You will track and interpret emerging AI policy, regulations, and standards and assess their impact on Babel Street’s products and business. You will translate these requirements into roadmap implications, compliance strategies, and customer-ready collateral—enabling fast, consistent responses to RFIs/RFPs, security questionnaires, audits, and due diligence requests.

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

• Create and operationalize Babel Street’s AI principles into enforceable engineering and product standards (e.g., secure-by-design patterns, privacy boundaries, oversight requirements, transparency expectations).
• Monitor emerging AI policy, regulatory, and standards developments 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 Governance Program Design & Framework Development
• Define and maintain Babel Street’s AI governance framework by embedding AI principles into delivery workflows across the development lifecycle.
• Partner with Engineering to maintain an 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…