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Salary: USD 270,000 - 330,000 / annual
SecurityScorecard, the global leader in cybersecurity ratings with over 12 million companies continuously rated across 64 countries, is hiring a Principal AI Architect to lead system design of agentic AI capabilities and serve as a technical anchor for engineering teams building the next generation of the platform.
This is a senior individual contributor role reporting to the Chief Architect, working alongside a Front-end Architect and Data-focused Architect, and partnering closely with engineering leadership, Product, and Data Science. You will own the system design for how agentic features are built, integrated, and operated reliably at production scale.
Key responsibilities include:
- Own system design for agentic capabilities: orchestration, context and state, tool boundaries, and reliability patterns for non-deterministic systems
- Write Technical Design Reviews (TDRs), design docs, and standards that set architectural direction for agentic work across teams
- Prototype to validate architectural decisions before teams commit to them at scale
- Partner with Data Science to ensure agent and model work composes cleanly with existing platform services, from APIs and event streaming through to storage
- Review TDRs from across engineering, providing substantive feedback on architecture and risk
- Build consensus across engineering teams and drive genuine alignment
- Help drive the shift to AI-assisted and agentic development across engineering, shaping how engineers design, review, and iterate in an AI-native workflow
- Mentor senior and staff engineers on agentic system design and elevate the technical bar
- Communicate architectural decisions and trade-offs clearly to executives and customers
The role emphasizes influence without authority: presenting technical direction to skeptical engineers and earning genuine buy-in through well-reasoned, well-communicated designs. You'll prototype to prove out decisions rather than implement full solutions, and set direction through standards and technical leadership.
SecurityScorecard's platform runs on Node.js and TypeScript with React Microfrontend Architecture, PostgreSQL and ClickHouse for storage, Kafka for event streaming, and AWS infrastructure with Kubernetes, Terraform, Helm, and ArgoCD. The company is actively expanding AI/ML infrastructure.
The company, founded in 2013 by security and risk experts, is headquartered in NYC with over 200 employees globally, has raised over $110M USD, and is used by 1,000+ enterprise customers. It has been recognized by Inc Magazine as a "Best Workplace," by Crain's NY as a "Best Places to Work in NYC," and named to Fast Company's World's Most Innovative Companies for 2023.
**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: 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 (not just demos): 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, sufficient to make informed architectural calls without deep specialization
- Track record of influence without authority: presenting technical direction to skeptical engineers and earning genuine buy-in, and giving rigorous design review feedback on systems you didn't build
- Strong technical writing and mentorship: TDRs, design docs, and decision records that teams can act on without hand-holding, plus a history of raising the technical bar
- Ability to communicate complex architectural decisions clearly to executives and customers
- Comfort operating as a senior individual contributor, driving outcomes through prototyping and technical credibility
**Preferred Qualifications:**
- Familiarity with multi-agent orchestration patterns (supervisor and sub-agent architectures, agent handoffs)
- Experience with SecurityScorecard's stack or comparable technologies: Node.js/TypeScript, PostgreSQL, ClickHouse, Kafka, AWS, Kubernetes
- Experience leading AI-assisted or agentic development adoption across an engineering organization
- Experience partnering closely with data science or ML teams on productionizing their work
- Cybersecurity industry background
