Senior Director, Real-Time AI Systems

Dataminr

Arlington (VA)

On-site

USD 230,000 - 337,000

Full time

3 days ago
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Job summary

Dataminr is seeking a Senior Director of AI Engineering to lead engineers building the real-time AI engine powering its intelligence platform. You will bridge cutting-edge AI research and scalable product deployment, driving strategies that translate innovations into business impact.

The role empowers a team to deliver high-quality, end-to-end AI solutions at scale. You will oversee multiple AI models, collaborate with product, research, and data science, and set performance and cost metrics.

Qualifications

  • Graduate degree in Computer Science or Electrical Engineering.
  • 7+ years software engineering in cloud environments (AWS, Kubernetes).
  • 5+ years leading software engineers in AI teams.
  • Experience with deep learning frameworks and LLMs.
  • Strong communication and end-to-end solution delivery.

Responsibilities

  • Oversee technical aspects of AI model outputs and content quality.
  • Collaborate with PMs, scientists, engineers to scale AI solutions.
  • Define and track performance, cost, and business metrics.
  • Hands-on modification of model workflows and outputs.
  • Lead engineers and scientists; guide technical directions.
  • Maintain human-centered focus with practical impact.

Skills

AI leadership
Cloud-native
Communication skills
Team leadership
Strategic thinking

Education

Graduate degree in Computer Science or Electrical Engineering

Tools

PyTorch
Langfuse
LangGraph
Weaviate
A2A
AWS
Kubernetes

Job description

Dataminr is seeking a Senior Director of AI Engineering to lead engineers building the real-time AI engine powering its intelligence platform. You will bridge cutting-edge AI research and scalable product deployment, driving strategies that translate innovations into business impact.

The role empowers a team to deliver high-quality, end-to-end AI solutions at scale. You will oversee multiple AI models, collaborate with product, research, and data science, and set performance and cost metrics.

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