Principal AI Engineering Architect

🕒 Julho 15

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $224.000 - $308.000 / ano

⏰ Tempo Integral

🔴 Especialista

🤖 Engenheiro de IA

🦅 Patrocina Visto H1B

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SentinelOne

1001 - 5000 funcionários

Fundada em 2013

💼 Consultoria

🏥 Saúde

📦 Logística

Consulting • Healthcare • Logistics

A SentinelOne é líder em cibersegurança autônoma, conhecida pelo uso inovador de IA em soluções de proteção de endpoint, cloud e identidade. É reconhecida pela Gartner como Líder no Magic Quadrant for Endpoint Protection Platforms por quatro anos consecutivos. A plataforma Singularity da SentinelOne integra a segurança corporativa, oferecendo recursos como detecção de ameaças com IA, segurança de endpoints e de cloud, gestão de vulnerabilidades e threat intelligence. A empresa atende diversos setores ao entregar proteção em tempo real e eficiência operacional, aproveitando IA para threat hunting avançado e log analytics. Com forte foco na redução de risco e na melhoria do desempenho de segurança, a SentinelOne atende empresas no mundo todo com soluções seguras e escaláveis.

Descrição

• 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.

🎯 Requisitos

• 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.

🏖️ Benefícios

• 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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