Principal AI Architect

• Own the system design for agentic capabilities, including orchestration, context and state, tool boundaries, and reliability patterns for non-deterministic systems
• Write TDRs, design documents, and standards that set architectural direction across teams
• Prototype to validate architectural decisions before teams commit to them at scale
• Partner with Data Science to integrate agent and model work with platform services, APIs, event streaming, and storage
• Review engineering TDRs and provide substantive feedback on architecture and risk
• Build consensus and alignment across engineering teams
• Drive AI-assisted and agentic development adoption across engineering
• Mentor senior and staff engineers on agentic system design
• Communicate architectural decisions and trade-offs to executives and customers
• Report to the Chief Architect and partner with engineering leadership, Product, and Data Science

Requirements

• 10+ years of software engineering experience, including significant time as a senior, staff, or principal-level architect or technical lead designing production systems
• Deep expertise in distributed systems, including service boundaries, consistency models, event-driven architecture, API design (REST; gRPC familiarity a plus), and operating systems reliably at scale
• Hands-on experience building, prototyping, and architecting agentic or LLM-powered systems in production, including agent loop design, context engineering, MCP and tool/function-calling integration, RAG architectures, memory and state management, and reliability and guardrail patterns for non-deterministic systems
• Working knowledge of data engineering fundamentals, including data modeling, pipeline design, and streaming vs. batch
• Track record of influencing without authority and earning genuine technical buy-in
• Strong technical writing and mentorship skills, including TDRs, design docs, and decision records
• Ability to communicate complex architectural decisions clearly to executives and customers
• Comfort operating as a senior individual contributor
• Familiarity with multi-agent orchestration patterns (preferred)
• Experience with Node.js/TypeScript, PostgreSQL, ClickHouse, Kafka, AWS, and Kubernetes (preferred)
• Experience leading AI-assisted or agentic development adoption across an engineering organization (preferred)
• Experience partnering with data science or ML teams on productionizing their work (preferred)
• Cybersecurity industry background (preferred)
• No immigration sponsorship is provided for this position

Core Competencies

Demonstrates deep expertise in distributed systems and agentic capabilities, with a strong focus on architectural design, prototyping, and integration of AI-assisted systems. Proven ability to mentor engineers and communicate complex decisions effectively to stakeholders.

Highest-signal resume keywords

• Distributed Systems Expertise
• Architectural Design
• Prototyping Agentic Systems
• Technical Writing Skills
• Mentorship and Leadership

ATS Optimization Keywords

Hard Skills

• Software Engineering
• API Design
• Event-Driven Architecture
• Data Modeling
• Pipeline Design
• Agent Loop Design
• Context Engineering
• Memory Management
• Reliability Patterns
• Guardrail Patterns

Soft Skills

• Influencing Without Authority
• Communication Skills
• Consensus Building
• Mentorship

Industry Keywords

• Cybersecurity
• AI-Assisted Development
• Agentic Systems
• Multi-Agent Orchestration

Tools & Technologies

• Node.js
• TypeScript
• PostgreSQL
• ClickHouse
• Kafka
• AWS
• Kubernetes