Sr. Director, Generative & Agentic AI
Babel Street
| Company | Babel Street |
| Category | Data & Analytics |
| Location | Somerville |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Director |
| Salary | Not stated by the employer |
| Posted | 14 Jan 2026 |
| Last verified | 3 Aug 2026 |
| Source | Employer ATS (greenhouse) |
Description
Babel Street is the trusted technology partner for the world’s most advanced identity intelligence and risk operations. We 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 empower s 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. For more information, visit www. babelstreet.com .
ROLE SUMMARY
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. You will 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 our products and data ecosystem.
You will work closely with the President & Chief AI Officer, as well as Product and Engineering leadership to execute the company’s AI strategy—balancing innovation with rigor, speed with safety, and capability with cost discipline. This role requires strong technical depth, hands-on experience, architectural judgment, and the ability to translate rapidly evolving AI technologies into reliable, customer-facing intelligence capabilities. You will 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—powering investigative, analytical, and operational workflows across Babel Street’s product suite.
You will focus on capabilities that automate analysis, reduce cognitive load, and power Babel Street’s future Knowledge Graph. A defining aspect of this role is ensuring all AI capabilities are delivered with strong guardrails, low hallucination rates, transparent behavior, and a relentless focus on winning on AI economics.
This is a hybrid role to be based out of either our Reston, VA or Somerville MA office.
ROLE SPAN
This role spans three integrated domains:
Generative AI & LLM/SLM Platform
You will help define and execute Babel Street’s generative AI strategy, establishing clear frameworks for when to deploy multilingual and multi-modal LLMs versus SLMs and when to apply RAG versus fine-tuning to maximize accuracy, explainability, and mission impact. You will shape tooling and vendor decisions, lead model-provider partnerships, and architect scalable multilingual inference pipelines optimized through quantization, caching, routing, and GPU efficiency to ensure we consistently win on AI economics. You will integrate embeddings and retrieval systems, develop evaluation and red-teaming pipelines, and ensure all generative capabilities meet mission-grade requirements for reliability, transparency, cost efficiency, and global language coverage.
Agentic AI & Workflow Automation
You will design and implement agent architectures that deliver mission-aligned automation directly to customers—accelerating investigations, reducing cognitive load, and enabling intelligence applications and cross-product task execution through LLM- and agent-powered Knowledge Graph intelligence. In parallel, you
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