Staff AI Engineer

SecurityScorecard

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.

Posted 4/14/2026full-timeAustin • Texas • 🇺🇸 United StatesLead💰 $170,000 - $215,000 per yearWebsite

Tech Stack

Tools & technologies

AWSCloudDistributed SystemsTypeScript

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

software engineeringAI-powered product featuresLLM integrationagentic systemsintelligent automationTypeScriptbackend engineeringdistributed systemscloud infrastructureproduction operations

Soft Skills

leadershipindependent operationproduct instinctscommunicationcollaborationproblem-solvingalignment drivingtechnical elevation