Principal AI Engineering Architect

Visa Hunt; United States; On-site; USD 224,000 - 308,000; Full time

Benefits offered by this job

Restricted Stock Units (RSUs)

Employee Stock Purchase Plan (ESPP)

Home office allowance

Mobile phone reimbursement

Job summary

SentinelOne is seeking a Principal AI Engineering Architect to lead the development and deployment of the next-generation AI-powered cybersecurity solutions. You will shape SentinelOne's competitive edge by translating cutting-edge AI research into production-grade, globally scalable products.

You will drive strategy for core AI platforms, mentoring teams, and ensuring delivery of industry-leading protection for customers.

Qualifications

• 15+ years of progressive experience in software or machine learning engineering.
• Proven track record delivering high-scale AI or data products from concept to deployment.
• Deep expertise in building highly available, low-latency ML systems.
• Experience in endpoint security or related real-time processing challenges.
• Able to mentor and retain top AI engineering talent.
• Expert-level Python and modern frameworks; hands-on with Docker, Kubernetes, AWS and Google Cloud.

Responsibilities

• Define and execute the technical roadmap for AI engineering, bringing advances in ML to customers.
• Represent AI Engineering in Architecture Board and define platform strategy.
• Support cross-domain use of AI Platform and Services across SentinelOne.
• Mentor across distributed teams and foster technical excellence.
• Design and build net-new AI capabilities for the cybersecurity platform.
• Drive cross-functional collaboration to integrate AI-powered products.
• Oversee best practices for MLOps, security, and performance monitoring.

Skills

AI engineering leadership

Python

MLOps

Cloud platforms

Docker

Kubernetes

AWS

Google Cloud

Mentoring

Tools

Kubeflow

Pydantic

Docker

Kubernetes

Cloud environments

Job description

Our Purpose

At SentinelOne, we are driven by a clear purpose: to give the advantage to those who secure our future. As AI reshapes how organizations build, operate, and innovate, the responsibility to protect them becomes more critical than ever. When you join SentinelOne, your work helps protect global enterprises, critical infrastructure, and the technologies shaping tomorrow. If you are motivated by meaningful challenges and want your impact to be real, measurable, and global, you will find purpose here.

About Us

SentinelOne is a company at the intersection of AI and security, pioneering a new operating model for cybersecurity. Our AI-native platform unifies protection across endpoint, cloud, identity, data, and AI systems to deliver autonomous detection and response with clarity and speed. By combining real-time analytics, intelligent automation, and a unified data foundation, we reduce noise, simplify complexity, and empower security teams to focus on what truly matters.

Our teams are builders, problem-solvers, and innovators committed to shaping the future of security. If you are excited to solve hard problems alongside talented, mission-driven people, we invite you to help us build a safer future for humanity.

What Are We Looking For?

We’re looking for people who are relentlessly curious and committed to continuous learning. AI is reshaping every function across our business, and we enable every team member, regardless of role or level, to build fluency in AI tools and concepts. Those who thrive here actively seek out new solutions, experiment thoughtfully, and apply what they learn to drive better, faster, smarter outcomes.

As a Principal AI Engineering Architect, you will be tasked with leading the development and deployment of SentinelOne's next-generation AI-powered cybersecurity solutions. This critical role will shape SentinelOne's competitive advantage by translating cutting‑edge AI research into production‑grade, globally scalable products that proactively stay ahead of cybercriminals and tomorrow's threats. You will drive the strategy and execution for our core AI platforms, directly impacting our ability to deliver industry‑leading protection to our customers.

What Will You Do?

Primary responsibilities include:

• 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.

What Skills and Knowledge Will You Bring?

Ideal candidates will have:

• 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.

Why SentinelOne?

AI is redefining how the world operates and rewriting the rules of security in real time, and SentinelOne was built for this moment. From day one, we architected an AI‑native platform designed to operate at machine speed, not as an add‑on to legacy systems but as the foundation itself. If you want to build where innovation and impact move together, this is that place.

We invest in our Sentinels with comprehensive, competitive benefits designed to support you and your family:

Equity & Rewards

• Restricted Stock Units (RSUs)
• Employee Stock Purchase Plan (ESPP)

Time Off & Wellbeing

• Flexible time off
• Paid company holidays and paid sick time
• Gender‑neutral parental leave
• Grandparent leave

Insurance & Financial Security

• 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

Work Perks & Flexibility

• Home office allowance
• Mobile phone reimbursement

Wellness & Lifestyle

• Wellness coach
• Wellness/gym reimbursement
• Fertility coverage
• Adoption & surrogacy reimbursement

Base Salary Range

Base Salary Range

$224,000—$308,000 USD

This U.S. role has a base pay range that will vary based on the location of the candidate. For some locations, a different pay range may apply. If so, this range will be provided to you during the recruiting process.

SentinelOne is proud to be an Equal Employment Opportunity and Aff…

SentinelOne participates in the E‑Verify Program for all U.S. based roles.

Originally posted on Himalayas