Principal AI Architect

SecurityScorecard

Principal AI Architect designing reliable agentic AI systems for SecurityScorecard, a cybersecurity ratings company. Guiding architecture, prototypes, and engineering adoption across platform teams.

Posted 9/10/2026full-timeNew York City • New York • 🇺🇸 United StatesLead💰 $270,000 - $330,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

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 ExpertiseArchitectural DesignPrototyping Agentic SystemsTechnical Writing SkillsMentorship and Leadership

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software EngineeringAPI DesignEvent-Driven ArchitectureData ModelingPipeline DesignAgent Loop DesignContext EngineeringMemory ManagementReliability PatternsGuardrail Patterns

Soft Skills

Influencing Without AuthorityCommunication SkillsConsensus BuildingMentorship

Tools & Technologies

Node.jsTypeScriptPostgreSQLClickHouseKafkaAWSKubernetes

Industry Keywords

CybersecurityAI-Assisted DevelopmentAgentic SystemsMulti-Agent Orchestration

Tech Stack

Tools & technologies

AWSCyber SecurityDistributed SystemsGRPCJavaScriptKafkaKubernetesNode.jsPostgresTypeScript

About the role

Key responsibilities & impact

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

What you’ll need

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

Benefits

Comp & perks

Competitive salary
Stock options
Health benefits
Unlimited PTO
Parental leave
Tuition reimbursements
Annual performance-based incentive compensation awards
Equity
Reasonable accommodations for qualified individuals with disabilities