Principal AI Architect

SecurityScorecard

Principal AI Architect designing reliable agentic AI systems for SecurityScorecard’s cybersecurity ratings platform. Guiding architecture, prototypes, standards, and engineering adoption.

Posted 9/10/2026full-timeAustin • Texas • 🇺🇸 United StatesLead💰 $240,000 - $300,000 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 AI capabilities, with a strong focus on architectural design, technical writing, and mentorship. Proven ability to communicate complex decisions and drive adoption of innovative development practices across engineering teams.

Highest-signal resume keywords

Distributed Systems ExpertiseArchitectural DesignTechnical WritingMentorship SkillsAI-Assisted Development Adoption

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Service BoundariesConsistency ModelsEvent-Driven ArchitectureREST API DesignAgent Loop DesignContext EngineeringData ModelingPipeline DesignMemory ManagementReliability Patterns

Soft Skills

Influencing Without AuthorityCommunication Skills

Tools & Technologies

Node.jsTypeScriptPostgreSQLClickHouseKafkaAWSKubernetes

Industry Keywords

Cybersecurity

Tech Stack

Tools & technologies

AWSCyber SecurityDistributed SystemsJavaScriptKafkaKubernetesNode.jsPostgresTypeScript

About the role

Key responsibilities & impact

Lead system design for SecurityScorecard's agentic AI capabilities
Design orchestration, context and state, tool boundaries, and reliability patterns for non-deterministic systems
Write Technical Design Reviews, design documents, and standards that establish architectural direction
Prototype architectural decisions before teams commit to them at scale
Partner with Data Science to integrate agent and model work with APIs, event streaming, and storage
Review engineering TDRs and provide substantive architecture and risk feedback
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

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: service boundaries, consistency models, event-driven architecture, REST API design, and reliable operation 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
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
Node.js/TypeScript, PostgreSQL, ClickHouse, Kafka, AWS, and Kubernetes experience preferred
Experience leading AI-assisted or agentic development adoption preferred
Experience partnering with data science or ML teams 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