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Principal AI Engineering Architect

SentinelOne
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Remote / United States$224k - $308kFull-timePosted 5mo ago

About the role

Lead the development and deployment of SentinelOne's next-generation AI-powered cybersecurity solutions, shaping the platform's AI strategy and driving its globally scalable products.

Responsibilities

  • Define and execute the technical roadmap for AI engineering, focusing on bringing the most recent advances in machine learning technology to help customers efficiently discover and defeat threats.
  • Represent AI Engineering as a key contributor to the Architecture Board defining the overall architecture strategy for the SentinelOne Platform and Services.
  • Understand and define strategies to support cross domain requirements to use AI Platform and Services across SentinelOne.
  • Serve as a lead individual contributor who also mentors across distributed teams, fostering a culture of technical excellence and continuous innovation.
  • Design and build net-new AI capabilities to be used across SentinelOne's industry-leading cybersecurity platform.
  • Drive cross-functional collaboration across multiple engineering teams to ensure seamless integration and innovation in AI-powered cybersecurity products.
  • Oversee the establishment of best practices for MLOps, security, and performance monitoring to ensure the reliability and efficacy of our AI defense mechanisms.

Qualifications

  • 15 or more years of progressive experience in software or machine learning engineering.
  • Proven track record of delivering multiple high-scale, production-ready AI or data products from concept through deployment and maintenance.
  • Deep expertise in building highly available, low-latency machine learning systems, including experience with machine learning workflows and processes.
  • Experience in endpoint security, OS concepts, or a related field with comparable large-scale event processing and real-time processing challenges.
  • Demonstrated ability to mentor, develop, and retain top-tier AI engineering talent.
  • Expert-level knowledge of Python and modern frameworks (e.g., Pydantic), cloud-native MLOps platforms (e.g., Kubeflow), and large-scale data processing technologies, including hands-on familiarity with Docker, Kubernetes, and operating in cloud environments, especially AWS and Google Cloud.

Skills

Required:AI engineering leadershipMachine learning system designPythonCloud platformsDocker & Kubernetes

Benefits

  • Restricted Stock Units (RSUs)
  • Employee Stock Purchase Plan (ESPP)
  • Flexible time off
  • Paid company holidays and paid sick time
  • Gender-neutral parental leave
  • Grandparent leave
  • Medical, dental, and vision coverage
  • 401(k) retirement plan with company match
  • Life and disability insurance
  • Health and dependent care FSA
  • Voluntary benefits (hospital, accident, critical illness)
  • Employee Assistance Program (EAP)
  • ARAG pre-paid legal
  • Nationwide pet insurance
  • Cancer Care program
  • Global business travel medical insurance
  • Home office allowance
  • Mobile phone reimbursement
  • Wellness coach
  • Wellness/gym reimbursement
  • Fertility coverage
  • Adoption & surrogacy reimbursement
Last updated Oct 22, 2026. Interested? Apply on the company site.
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About SentinelOne

AI-Powered Enterprise Cybersecurity Platform

SentinelOne unifies AI-powered endpoint, cloud, identity, and data protection—enhanced by our Security Data Lake for seamless and efficient cybersecurity.

CybersecurityAI SecurityEndpoint SecurityCloud SecurityAI-SIEMIdentity SecurityEDRXDR
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