Principal AI Platform Engineer (Lead Architect)

The role

You will define the technical vision and multi-year roadmap for the AI Platform. You will serve as a technical leader owning architecture decisions and building customer-facing AI experiences that are then platformized into reusable capabilities.

What you will do

• Define the technical vision and multi-year roadmap for the AI Platform.
• Serve as the tech lead by owning architecture decisions and setting engineering standards.
• Support business-critical AI initiatives by partnering with product and engineering leaders.
• Partner with product teams to build customer-facing AI experiences and platformize them.
• Drive technology selection and build-vs-buy decisions for the platform core stack.
• Mentor senior engineers across the organization.
• Act as a recognized expert on AI infrastructure.

Required qualifications

• 12+ years of experience building and operating large-scale distributed systems.
• Several years driving the architecture of platform or infrastructure products used by multiple teams.
• 2+ years hands-on experience taking LLM-based systems to production.
• Strong hands-on coding skills in a mainstream backend language (e.g., Python or Go).
• Deep experience with Kubernetes and cloud infrastructure (AWS and/or GCP).
• Strong product acumen with experience building customer-facing products.
• Proven track record as a tech lead of cross-team initiatives with ambiguous requirements.

Benefits

• Restricted Stock Units (RSUs)
• Employee Stock Purchase Plan (ESPP)
• Performance-based bonus
• Flexible time off on top of 5 weeks PTO
• Paid company wellness days
• Fully paid short-term sick/nursing leave
• Gender-neutral parental leave
• Private medical care benefit
• Life and disability insurance
• Pension Insurance contribution
• Global business travel medical insurance
• Employee Assistance Program (EAP)

About the company

SentinelOne is a company at the intersection of AI and security, pioneering a new operating model for cybersecurity. Their AI-native platform unifies protection across endpoint, cloud, identity, data, and AI systems.