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Staff AI Engineer at SecurityScorecard. Location Information: United States. SecurityScorecard’s SaaS-based platform enables enterprises to instantly rate and understand the security risk of companies, non-intrusively and from an outside-in perspective. We use an A-F rating scale. Companies with a C, D or F rating are 5 times more likely to be breached or face compliance penalties than companies with an A or B rating. Our platform is used by nearly 1,000 customers for use-cases including self-monitoring, vendor risk management, cyber insurance, board reporting, and M&A.. Headquartered in New York City, we are funded by top investors such as Sequoia Capital, Google Ventures, NGP, Moody’s, Intel, and others. Our vision is to create a new language for companies and their partners to communicate, understand, and improve each other’s security posture.. Lead the design and delivery of major AI-powered product initiatives from concept through production, owning the full software development lifecycle. Define the technical architecture for AI systems at SecurityScorecard: LLM pipelines, agentic workflows, retrieval infrastructure, and evaluation frameworks. Set the standard for how the engineering organization builds with AI, including development practices, tooling choices, and quality bars. Use Cursor, Claude Code, and AI-native development tools as core instruments, and model what high-velocity, high-quality AI-augmented engineering looks like for the team. Collaborate directly with product leadership and the CTO organization to shape the AI product roadmap. Drive architecture reviews, establish cross-team engineering standards, and elevate the technical level of the teams you work with. Identify and eliminate bottlenecks in how AI features get built, tested, and shipped across the organization. Operate with Staff-level ownership: you see the whole problem, not just your part of it. 7+ years of software engineering experience with a track record of leading complex, high-impact technical projects end-to-end. Demonstrated ability to operate independently across the full product development lifecycle, from problem definition through production operations. 3+ years building and shipping AI-powered product features in production, including LLM integration, agentic systems, or intelligent automation. Strong product instincts: you think about user problems and business outcomes, not just technical implementation. Proficiency in TypeScript and strong backend engineering fundamentals with experience in distributed systems at scale. Fluency with AI-native development workflows (Cursor, Claude Code, or equivalent) as a primary engineering practice, not an experiment. Cloud infrastructure experience (AWS preferred) and comfort with the full production stack. Exceptional communication: able to drive alignment across product, engineering, and executive stakeholders. Pay range:. $180K - $220K. Competitive salary. Stock options. Health benefits. Unlimited PTO. Parental leave. Tuition reimbursements