Senior Director, AI Engineering

Dataminr

. Lead and inspire the team of engineers building the AI and data engine powering Dataminr’s real-time intelligence platform .

Posted 10/9/2026full-timeUnited StatesSenior💰 $229,600 - $337,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading AI and Machine Learning projects, with a strong focus on deploying scalable solutions in cloud-native environments. Proficient in managing cross-functional teams and ensuring high-quality model performance across various AI applications.

Highest-signal resume keywords

AI Project LeadershipDeep Learning FrameworksCloud-Native DevelopmentModel Performance MetricsExcellent Communication Skills

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningDeep LearningNatural Language ProcessingComputer VisionInformation RetrievalLarge Language ModelsModel EvaluationAI Systems DevelopmentTechnical StrategyEnd-to-End Solutions

Soft Skills

Team LeadershipCollaborationHuman-Centered Focus

Tools & Technologies

AWSKubernetesPyTorchLangfuseLangGraphWeaviateA2A

Certifications & Qualifications

Graduate Degree in Computer ScienceGraduate Degree in Electrical Engineering

Industry Keywords

AI ResearchScalable SolutionsPerformance RequirementsModel QualityComplex AI Projects

Tech Stack

Tools & technologies

AWSCloudKubernetesPyTorch

About the role

Key responsibilities & impact

Lead and inspire the team of engineers building the AI and data engine powering Dataminr’s real-time intelligence platform
Bridge cutting-edge AI research and scalable, real-world product deployment
Drive technical strategies translating AI, Deep Learning, and Machine Learning innovations into business impact
Oversee technical aspects of how AI model outputs affect content quality
Work with product managers and business teams to define performance requirements for Deep Learning and Machine Learning models
Collaborate with scientists, engineers, and product managers to deliver state-of-the-art solutions at scale across NLP, CV, IR, and Knowledge Graphs
Define and track model quality, cost, and integrated end-to-end performance metrics
Modify model workflows, evaluations, and outputs hands-on
Lead engineers and scientists and direct changes to technical approaches
Maintain a human-centered focus on context and end-user impact

Requirements

What you’ll need

Graduate degree in Computer Science or Electrical Engineering
At least 7 years of industry experience as a software engineer in a cloud-native environment
Experience with AWS and Kubernetes
At least 5 years of experience leading software engineers in an AI team
Experience with deep learning frameworks, LLMs, agent harnesses, and compound AI systems, including PyTorch, Langfuse, LangGraph, Weaviate, and A2A
Hands-on experience developing and deploying Machine Learning, Deep Learning, and LLM systems at large scale in NLP, CV, IR, or a related field
Demonstrated track record delivering multiple complex AI projects
Excellent communication skills
Deep understanding of research stages and ability to connect complex technologies in end-to-end solutions

Benefits

Comp & perks

Discretionary bonus
Company equity
Flexible work arrangements
Generous PTO and sick leave
Robust employee resource group (ERG) network
Manager development programming
Professional development funds