As Senior Director of Generative & Agentic AI, you will play a central role in Babel Street’s transformation into an AI-native risk intelligence organization.
Architect, operationalize, and scale generative and agentic AI capabilities across the Babel Street platform, ensuring they are mission-ready, safe, economically efficient, and deeply integrated with their products and data ecosystem.
Work closely with the President & Chief AI Officer, Product and Engineering leadership to execute the company’s AI strategy—balancing innovation with rigor, speed with safety, and capability with cost discipline.
Lead teams building multilingual and multi-modal LLM and SLM pipelines, retrieval, agent-driven workflow systems, and graph-integrated reasoning capabilities that directly support intelligence applications.
Focus on capabilities that automate analysis, reduce cognitive load, and power Babel Street’s future Knowledge Graph.
Ensure all AI capabilities are delivered with strong guardrails, low hallucination rates, transparent behavior, and a relentless focus on winning on AI economics.
Help build a high-performing AI organization and foster a culture defined by velocity, craftsmanship, safety, experimentation, and outcome-driven execution.
Requirements
10+ years of experience in AI/ML, applied analytics, or advanced data systems, including 3–5 years leading technical teams delivering production GenAI capabilities.
Demonstrated experience applying generative and agentic AI capabilities to intelligence applications, including investigative analysis, entity and relationship discovery, pattern detection, and analyst-driven workflows in high-stakes or mission-critical environments.
Strong technical expertise in agentic AI, workflow automation, orchestration frameworks, and evaluation techniques.
Experience designing systems that minimize hallucinations and enforce safe, predictable AI behavior.
Hands-on experience with cloud-native AI infrastructure, inference optimization, and cost-aware system design.
Ability to translate complex AI concepts into practical, mission-ready product capabilities.
Strong communication skills and the ability to collaborate effectively across technical and non-technical teams.
Experience operating in regulated, high-stakes, or mission-critical environments is strongly preferred.
Bachelor’s degree in Computer Science, Engineering, AI/ML, or a related technical field required. Master’s degree or PhD preferred.