hatch I.T.

hatch I.T.

Sr. Director, Generative & Agentic AI

Reston, VA OR Somerville, MA · Director

Sponsorship not specified$210k-$240kDetected 89 days ago
Machine LearningData AnalysisLLMsRAGAgentic AIAI OrchestrationA/B TestingTest AutomationLeadershipCommunicationCollaborationMentoring

About the role

  • 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 their 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.

Responsibilities

  • Lead model tooling selection and partnerships across proprietary and open-weight ecosystems.
  • Design agent architectures that automate investigations and cross-platform analytical workflows.
  • Build agentic systems that leverage the Knowledge Graph for reasoning, task planning, and orchestration.
  • Support Product and Engineering teams in embedding AI capabilities into customer workflows.
  • Help design and implement safeguards, guardrails, and drift-monitoring controls.
  • Lead and develop AI engineers and applied scientists through mentorship and technical leadership.

Requirements

  • 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.

Nice to have

  • 10+ years of experience in AI/ML, applied analytics, or advanced data systems, including 3-5 years leading technical teams delivering production GenAI capabilities.
  • 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.
  • 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.

Skills

  • Generative AI & LLM/SLM Platform
  • Agentic AI & Workflow Automation
  • AI Integration & Safe, Secure Delivery

Compensation

  • $210k-$240k

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 integrated domains:
  • 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.
  • 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 will collaborate with Engineering teams to introduce agentic capabilities that improve engineering velocity, automate internal workflows, enhance data quality, and streamline operations.
  • You will operationalize agentic SDLC practices, build evaluation and guardrail systems, and establish observability frameworks to ensure reliable, secure, and transparent agent behavior, with a strong emphasis on cost-efficient execution and orchestration.
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