Principal AI Engineering Architect

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🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $224k - $308k / year

⏰ Full Time

🔴 Lead

🤖 AI Engineer

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SentinelOne

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2013

🔒 Cybersecurity

🤖 Artificial Intelligence

☁️ SaaS

Cybersecurity • Artificial Intelligence • SaaS

SentinelOne is a leader in autonomous cybersecurity, known for its innovative use of AI across endpoint, cloud, and identity protection solutions. It is recognized by Gartner as a leader in the Magic Quadrant for Endpoint Protection Platforms for four consecutive years. SentinelOne's Singularity platform integrates enterprise security, offering features like AI-powered threat detection, endpoint and cloud security, vulnerability management, and threat intelligence. The company supports various industries by delivering real-time protection and operational efficiency while leveraging AI for advanced threat hunting and log analytics. With a strong focus on reducing risk and enhancing security performance, SentinelOne caters to enterprises worldwide with secure, scalable solutions.

📋 Description

• 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.

🎯 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