Teams at SecurityScorecard

Own engineering-wide technical program coordination across squads and domains. Track dependencies, risks, sequencing, and status; build automated visibility systems using Jira, dashboards, scripts, and AI tools; facilitate cross-team communication; escalate blockers; provide accurate engineering inputs to the PMO; and improve coordination processes as the organization scales.

Build and operate AI-native engineering workflows, agentic coding systems, evaluation frameworks, guardrails, and customer-facing AI products. Design distributed systems and LLM pipelines using TypeScript, Go, AWS, and related cloud technologies. Lead architecture, code reviews, reliability practices, and end-to-end project delivery while helping engineering teams adopt AI tools and workflows. Interview candidates, document best practices, and continuously evaluate advances in foundation models and AI development tools.

Lead the system architecture for production agentic AI capabilities, including orchestration, state and memory, tool integration, reliability, and guardrails. Write technical design reviews and standards, prototype architectural decisions, and partner with Data Science and engineering teams. Influence technical direction, review architectures, mentor senior engineers, promote AI-assisted development, and communicate trade-offs to executives and customers.