AI Engineering Lead

New

Skills

Agentic Systems AI-native Development Tools AI Systems Architecture Cloud Infrastructure (AWS) Cross-team Engineering Standards Distributed Systems Intelligent Automation LLM Integration Software Development Lifecycle TypeScript

As a Staff AI Engineer at SecurityScorecard, you will lead the design and delivery of significant AI-powered product initiatives from concept through production. You will own the full software development lifecycle, defining the technical architecture for AI systems including LLM pipelines, agentic workflows, retrieval infrastructure, and evaluation frameworks.

Key Responsibilities
  • Set engineering standards for AI development practices, tooling choices, and quality benchmarks.
  • Utilize AI-native development tools such as Cursor and Claude Code to model high-velocity, high-quality engineering.
  • Collaborate with product leadership and the CTO organization to shape the AI product roadmap.
  • Drive architecture reviews and establish cross-team engineering standards.
  • Identify and eliminate bottlenecks in AI feature development across the organization.
Requirements & Qualifications
  • 7+ years of software engineering experience with a history of leading complex technical projects.
  • 3+ years of experience building and shipping AI-powered features, including LLM integration.
  • Proficiency in TypeScript and strong backend engineering fundamentals.
  • Experience with cloud infrastructure, preferably AWS.
  • Exceptional communication skills to drive alignment across various stakeholders.

No forms. Your profile is generated instantly.

Job Type: Remote

Salary: Not Disclosed

Experience: Entry

Duration: Months

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