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Salary: USD 240,000 - 300,000 / 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, 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, focusing on orchestration, state and memory, tool boundaries, failure semantics, and composition with the wider platform.
Key responsibilities include:
- Owning system design for agentic capabilities: orchestration, context and state, tool boundaries, and reliability patterns for non-deterministic systems
- Writing Technical Design Reviews (TDRs), design docs, and standards that set architectural direction for agentic work across teams
- Prototyping to validate architectural decisions before teams commit to them at scale
- Partnering with Data Science to ensure agent and model work composes cleanly with existing platform services (APIs, event streaming, storage)
- Reviewing TDRs from across engineering, providing substantive feedback on architecture and risk
- Building consensus across engineering teams and driving genuine alignment
- Helping drive adoption of AI-assisted and agentic development across engineering
- Mentoring senior and staff engineers on agentic system design and elevating the technical bar
- Communicating architectural decisions and trade-offs clearly to executives and customers
The company's tech stack includes Node.js and TypeScript, React Microfrontend Architecture, PostgreSQL and ClickHouse for storage, Kafka for event streaming, and AWS infrastructure with Kubernetes, Terraform, Helm, and ArgoCD. SecurityScorecard is backed by world-class investors including Silver Lake Waterman, Moody's, Sequoia Capital, GV, and Riverwood Capital, and has been recognized as one of Fast Company's World's Most Innovative Companies and an Achievers 50 Most Engaged Workplace.
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 the 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
