Senior AI Engineer

Rapid7 Austin, TX
63d

About The Position

We are expanding our global AI footprint and looking for a passionate Senior AI Engineer to join Rapid7’s AI Centre of Excellence. You’ll play a key role in designing, prototyping, and delivering production-ready AI models and systems that protect customers’ attack surfaces and strengthen cybersecurity defenses across our product suite. If you’re excited by solving complex problems with cutting-edge AI, thrive in fast-moving environments, and want your work to have real-world impact, this is your opportunity. The AI Centre of Excellence designs, prototypes, and ships production AI systems that enable smarter detection, faster response, and stronger protection for our customers. Our mission is to leverage the best available technology to secure the digital world. We partner closely with Rapid7’s Detection and Response teams, including our MDR service, to enhance customer protection through advanced AI/ML solutions. The team operates in a collaborative, creative, and iterative environment, building on more than 20 years of threat analysis and a growing patent portfolio. Knowledge sharing and continuous learning are at the core of how we work.

Requirements

  • Proven experience building and deploying AI systems in production using Python and modern ML frameworks.
  • Hands-on expertise with scikit-learn, PyTorch, TensorFlow for model development.
  • Experience with AWS Bedrock, Sagemaker, HuggingFace, or similar cloud AI stacks.
  • Familiarity with CrewAI or other orchestration frameworks for agentic AI systems.
  • Proficiency in Pandas, NumPy, Airflow, or Databricks for data engineering and workflow automation.
  • Strong understanding of model lifecycle management, including monitoring, retraining, and versioning.
  • Ability to balance trade-offs between model performance, latency, and interpretability.

Nice To Haves

  • Familiarity with cybersecurity or experience in other high-signal domains such as finance, healthcare, or marketplaces.

Responsibilities

  • Develop and ship high-quality AI systems that drive real customer impact.
  • Lead the technical implementation of AI projects from prototyping through production deployment.
  • Collaborate closely with product managers, data scientists, and software engineers to align efforts with business goals.
  • Contribute to best practices for model experimentation, evaluation, and observability.
  • Mentor team members on architecture, model design, and debugging.
  • Stay current on emerging AI methods, tools, and frameworks relevant to cybersecurity, sharing learnings across teams.

Benefits

  • Dynamic and inclusive workplace.
  • Opportunities for continuous learning and professional development.
  • Collaborative environment that values innovation and creativity.
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