hatch I.T.
Sr. Architect, AI Governance & Risk
Reston, VA OR Somerville, MA · Senior
Sponsorship not specified$140k-$180kDetected 89 days ago
Machine LearningData AnalysisData ScienceNLPLLMsAgentic AIIncident ResponseComplianceStakeholder ManagementProcurementCustomer SuccessLeadershipCommunication
About the role
- You will ensure their 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.
- This role requires extensive partnership with Product, Engineering, Security (CISO), Legal/Privacy, and Customer Success teams.
- The ideal candidate is execution-oriented with a focus on customer-facing outcomes.
Responsibilities
- 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).
- 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.
- Lead the company's responsible AI posture in AI-focused RFI/RFP responses, audit support, and customer due diligence-ensuring responses are consistent, evidence-backed, and defensible.
- Create a repeatable evidence program (what we collect, how we maintain it, 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
Requirements
- 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
- Bachelor's degree or equivalent experience in Computer Science, Engineering, Information Assurance, Data Science, Public Policy (with technical depth), or a related field required.
Compensation
- $140k-$180k
Company info
- Babel Street is the trusted technology partner for the world's most advanced identity intelligence and risk operations.
- They deliver advanced AI and data analytics solutions providing unmatched, analysis-ready data regardless of language, 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.
- The actionable insights we deliver safeguard lives and protect critical assets around the world.
- Babel Street is headquartered in Reston, Virginia, with regional offices in Boston, MA and Cleveland, OH, and international offices in Australia, Canada, Israel, Japan, and the U.K.
- This role spans three practical execution areas:
- AI Principles & Governance Architecture
- 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.
- 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 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.
- Responsible AI Assurance Across Safety, Privacy, Security, Bias/Fairness & Transparency
- 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.
Visa & Work Authorization
- 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
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