Hybrid Staff AI Engineer

at SecurityScorecard

• Job title: Staff AI Engineer
• Job type: Full Time
• Experience level: Lead
• Salary: $170,000 - $215,000 per year
• Degree requirement: No Education Requirement
• Tech skills: AWS, Cloud, Distributed Systems, TypeScript
• Location requirements: Hybrid, Austin, United States

About the role

• Staff AI Engineer leading AI capabilities development for security professionals at SecurityScorecard. Designing and shipping AI-powered initiatives with ownership in a dynamic team environment.

Responsibilities

• 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

Requirements

• 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.

Benefits

• specific to each country, we offer a competitive salary
• stock options
• Health benefits
• unlimited PTO
• parental leave
• tuition reimbursements
• much more!