Secure your enterprise with the autonomous cybersecurity platform. Endpoint. Cloud. Identity. XDR. Now.
Principal AI Engineering Architect
Location
United States
Posted
74 days ago
Salary
$224K - $308K / year
Seniority
Lead
Job Description
Principal AI Engineering Architect
SentinelOne
• Define and execute the technical roadmap for AI engineering, focusing on bringing the most recent advances in machine learning technology to help our 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.
Job Requirements
- 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.
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
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