Principal AI Architect
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Key skills for this role
About the Role
TrendAI seeks a Principal AI Architect to drive the technical direction of AI-native security systems. You will design agentic AI architectures, own architectural vision for AI integration, and represent TrendAI's technical thinking at industry venues.
Key Skills for This Role
Responsibilities
- Own the architectural vision for how AI integrates into your domain — from on device inference and cloud assisted pipelines to fully agentic decision workflows.
- Design AI native systems from the ground up, not as layers on top of existing architectures.
- Define trade off frameworks for AI capabilities within real production constraints: latency, resource budgets, accuracy, evasion resistance, and platform specific requirements.
- Assess AI feature proposals for architectural soundness, data dependency risks, and long term maintainability.
- Design the boundary between autonomous AI decision making and human expert judgment in critical security workflows.
- Architect multi agent systems and agentic pipelines appropriate for high stakes security environments.
- Reason rigorously about failure modes in agentic systems — hallucination under adversarial input, over automation, cascading errors, and loss of human oversight.
- Drive the technical direction of key AI product initiatives from early concept through architecture validation and implementation.
- Work hands on to validate technical approaches — prototype where needed, review implementation against architecture intent, and course correct when execution drifts from design.
- Define what meaningful AI adoption looks like for engineering and research teams.
Requirements
- Hands on background in security engineering or research — AI security, threat detection, cloud security, vulnerability research, or large scale telemetry systems.
- Deep understanding of at least one security domain at production scale.
- Production experience with LLM/SLM integration, agentic workflow design, or multi model systems.
- Can reason about the full agentic stack: planning, tool use, memory, orchestration, and the human oversight layer.
- Understands inference trade offs — latency, privacy, accuracy, evasion resistance — and how they interact with security system requirements.
- Familiar with the failure modes specific to agentic systems in adversarial environments.
- Pushes back when architecture doesn’t hold up — not swayed by schedule pressure, demo quality, or seniority in the room.
- Builds credibility through the quality of analysis, not through authority.
Full Job Posting
About The Role
- TrendAI’s security products protect hundreds of millions of devices and cloud workloads worldwide.
- We are looking for a Principal AI Architect with deep technical roots in a security domain, genuine fluency in agentic AI systems, and the ability to represent TrendAI’s technical thinking at the world’s most demanding venues.
- This is a senior individual contributor role with real ownership.
Core Responsibilities
- Own the architectural vision for how AI integrates into your domain.
- Design AI native systems from the ground up.
- Define trade off frameworks for AI capabilities within real production constraints.
- Assess AI feature proposals for architectural soundness, data dependency risks, and long term maintainability.
- Design the boundary between autonomous AI decision making and human expert judgment in critical security workflows.
- Architect multi agent systems and agentic pipelines appropriate for high stakes security environments.
- Reason rigorously about failure modes in agentic systems.
- Drive the technical direction of key AI product initiatives from early concept through architecture validation and implementation.
- Work hands on to validate technical approaches.
- Define what meaningful AI adoption looks like for engineering and research teams.
What You Bring
- Hands on background in security engineering or research.
- Deep understanding of at least one security domain at production scale.
- Production experience with LLM/SLM integration, agentic workflow design, or multi model systems.
- Can reason about the full agentic stack: planning, tool use, memory, orchestration, and the human oversight layer.
- Understands inference trade offs and how they interact with security system requirements.
- Familiar with the failure modes specific to agentic systems in adversarial environments.
- Pushes back when architecture doesn’t hold up.
- Builds credibility through the quality of analysis, not through authority.
What This Role Is Not
- Not a team lead managing headcount or sprint delivery.
- Not a hands on daily coder of production systems.
- Not a pure ML researcher.
- Not a sales or pre sales function.
- Not a role that requires an existing public speaking profile on day one.
What We Offer You
- Comprehensive medical, dental and vision insurance
- Life insurance
- Short & Long Term Disability
- Pre partum, maternity, parental and medical leave
- Mental Health Wellness Program
- Adoption Assistance
- Wellness Incentive
- Pet Insurance
- 401(k) with company match
- Paid Time Off
- 14 Annual Holidays
- Tuition Assistance
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