Principal AI Platform Engineer (Lead Architect)

sentinellabs

United States

Hybrid

USD 199,000 - 310,000

Full time

14 days+

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Benefits offered by this job

RSUs
Employee Stock Purchase Plan
Performance-based bonus
Five weeks PTO
Private medical care
Life and disability insurance
Pension contribution
Hybrid work CZ/Slovakia or remote

Job summary

Sentinellabs is forming an AI Platform team to accelerate AI feature delivery while maintaining security, cost, and quality. The Principal Engineer will be the founding technical leader, defining the multi-year roadmap and architecture for the platform underpinning every AI-powered capability.

The role blends platform leadership with hands-on customer-facing AI work, mentoring senior engineers and guiding architecture decisions across the organization.

Qualifications

  • 12+ years building and operating large-scale distributed systems.
  • 2+ years hands-on experience taking LLM-based systems to production (model integration and routing).
  • Strong coding in Python or Go with Kubernetes and cloud experience.
  • Strong product acumen and ability to engage business stakeholders.

Responsibilities

  • Define the technical vision and multi-year roadmap for the AI Platform, including model gateway/routing, agent and MCP infrastructure, evaluation pipelines, and AI observability.
  • Own architecture decisions, set engineering standards, and review critical designs across the team.
  • Translate business strategy into platform capabilities with product and engineering leaders.
  • Build customer-facing AI experiences, then platformize into reusable capabilities.
  • Drive build-vs-buy decisions for the core stack, balancing security, cost, scalability, and time-to-value.
  • Mentor senior engineers and serve as a recognized expert on AI infrastructure.

Skills

Distributed systems
LLM in production
Python
Go
Kubernetes
AWS
GCP
Product mindset
Cross-team leadership
Stakeholder communication
Architectural reviews

Tools

Kubernetes
AWS
GCP

Job description

Role overview

A cybersecurity company is forming a new AI Platform team to accelerate AI feature delivery across its product suite while meeting strict security, cost, and quality standards. The Principal Engineer will serve as founding technical leader, defining the multi-year roadmap and architecture for the platform underpinning every AI-powered capability. The role blends platform leadership with hands-on customer-facing AI work.

Responsibilities
  • Define the technical vision and multi-year roadmap for the AI Platform, including model gateway/routing, agent and MCP infrastructure, evaluation pipelines, and AI observability
  • Own architecture decisions, set engineering standards, and review critical designs across the team
  • Translate business strategy into platform capabilities alongside product and engineering leaders
  • Build customer-facing AI experiences, then platformize what was built into shared, reusable capabilities
  • Drive build-vs-buy decisions for the core stack, weighing security, cost, scalability, and time-to-value
  • Mentor senior engineers and serve as a recognized expert on AI infrastructure across the organization
Requirements
  • 12+ years building and operating large-scale distributed systems, including several years driving platform or infrastructure architecture
  • 2+ years of hands-on experience taking LLM-based systems to production (model integration and routing, retrieval or agent architectures, evaluation harnesses, cost/latency/quality optimization)
  • Strong coding skills in a mainstream backend language such as Python or Go, with deep Kubernetes and AWS/GCP experience
  • Strong product acumen and ability to engage business stakeholders
  • Proven track record leading cross-team initiatives with ambiguous requirements
Benefits and work setup
  • Restricted Stock Units (RSUs) and an Employee Stock Purchase Plan
  • Performance-based bonus
  • Flexible time off on top of five weeks of PTO
  • Private medical care, life and disability insurance, and pension contribution
  • Hybrid work in Prague or Brno, or remote within Czech Republic or Slovakia; Prague-based employees work from the office at least two days per week
  • Global home office allowance, meal allowance, and wellness benefits including a multi-sport program
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