Sr. Director, Generative & Agentic AI

Babel Street is the trusted technology partner for the worlds 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 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. For more information visit .

ROLE SUMMARY

AsSeniorDirector of Generative & Agentic AI you will playa central rolein Babel Streets 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 Officeras well asProduct and Engineering leadershipto execute the companys AI strategybalancing innovation with rigor speed with safety and capability with cost discipline. This role requires strong technical depth hands-onexperience architectural judgment and the ability to translate rapidly evolving AI technologies into reliable customer-facing intelligence will lead teams building multilingualand multi-modalLLM and SLM pipelines retrieval agent-driven workflow systems and graph-integrated reasoning capabilities that directly support intelligence applicationspowering investigative analytical and operational workflows across Babel Streets product suite.

You willfocus oncapabilities that automate analysis reduce cognitive load and power Babel Streets 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 onwinning onAI 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 willhelpdefine and execute Babel Streets generative AI strategyestablishingclear frameworks for when to deploymultilingual andmulti-modalLLMs versus SLMs and whento 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 pipelinesoptimizedthrough 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 tocustomersaccelerating investigations reducing cognitive load and enabling intelligence applications and cross-product task execution through LLM- and agent-powered Knowledge Graph 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 andestablishobservability frameworks to ensure reliable secure and transparent agent behavior with a strong emphasis on cost-efficient execution and orchestration.

AI Integration & Safe Secure Delivery

You will collaborate with Product and Engineering to embed AI-native practices into the product suite and support the integration of AI capabilities into user-facing this role you will helpproductionizeAI features through governance telemetry automated evaluation adversarial testing and responsible AI frameworks. You will contribute to the design and implementation of safeguards guardrails and hallucination-mitigation techniques and support controls thatmonitordrift enforce safe model behavior andmaintaintransparency across the AI lifecycleensuring AI capabilities are measurable trustworthy and aligned with emerging regulatory expectations.

Across all domains you will help build a high-performing AI organization and foster a culture defined by velocity craftsmanship safety experimentation and outcome-driven execution.

KEY RESPONSIBILITIES

Generative AI & LLM/SLM Platform

• Execute the generative AI strategy including LLM vs. SLM and RAG vs. fine-tuning decision frameworks.
• Architect scalable multilingual inference pipelines optimized for performance reliability and AI economics.
• Lead model tooling selection and partnerships across proprietary and open-weight ecosystems.

Agentic AI & Workflow Automation

• 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.
• Introduce agentic capabilities that improve internal engineering and operational workflows.

AI Integration & Safe Secure Delivery

• Support Product and Engineering teams in embedding AI capabilities into customer workflows.
• Contribute to AI productization through governance telemetry automated testing and adversarial evaluation.
• Help design and implement safeguards guardrails and drift-monitoring controls.

Organizational Leadership & Collaboration

• Lead and develop AI engineers and applied scientists through mentorship and technical leadership.
• Partner closely with Engineering Product and Data leaders to ensure aligned execution.
• Represent AI capabilities and strategy internally and as needed with customers and partners.

QUALIFICATIONS

• 10 years of experience in AI/ML applied analytics or advanced data systems including 35 years leading technical teams delivering productionGenAI 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.

EDUCATION

Bachelors degree in Computer Science Engineering AI/ML ora relatedtechnical fieldrequired.
Mastersdegree or PhD preferred.

Benefits at Babel Street (just to name a few...)

• Health Benefits: Babel Street covers 85-100% monthly premium costs for Medical Dental Vision Life & Disability insurances for you and your family!
• Retirement Plans:Babel Street offers both a Traditional and Roth 401(K) with a very competitive match.
• Unlimited Flexible Leave: We trust our employees to manage their own time and balance their personal and work lives.
• Holidays: Babel Street provides employees with 12 paid Federal Holidays
• Tuition Reimbursement: We are committed to investing in our employees. One way we do that is with our Tuition Reimbursement Program for continuing education.

Babel Street is anequalopportunity/affirmative actionemployer. All qualified applicants will receive consideration foremploymentwithout regard to sex gender identity sexual orientation race color religion national origin disability protected Veteran status age or any other characteristic protected by law. FurtherBabel Street will not discriminate against applicants for inquiring about discussing or disclosing their pay or in certain circumstances the pay of their coworkerPay Transparency Nondiscrimination.In addition Babel Streets policy is to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws regulations and ordinances where a particular employee works. Upon request we will provide you with more information about such accommodations.