Lead AI Engineering Initiatives

New

Skills

Agentic Workflows AI-native Development Tools AI Systems Architecture Distributed Systems Evaluation Frameworks LLM Integration Product Roadmap Collaboration Retrieval Infrastructure Software Development Lifecycle TypeScript

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

Key Responsibilities
  • Set standards for engineering practices involving AI, including development practices, tooling choices, and quality bars.
  • Utilize tools like Cursor, Claude Code, and AI-native development tools to model high-velocity, high-quality AI-augmented engineering.
  • Collaborate directly with product leadership and the CTO organization to shape the AI product roadmap.
  • Drive architecture reviews and establish cross-team engineering standards to elevate technical expertise.
  • Lead and mentor teams to ensure successful delivery of AI-powered product features.
Required Skills & Qualifications
  • 7+ years of software engineering experience with a track record of leading complex technical projects.
  • 3+ years of experience in building and shipping AI-powered product features in production.
  • Proficiency in TypeScript and strong backend engineering fundamentals.
  • Experience with distributed systems at scale.
  • Fluency with AI-native development workflows as a primary engineering practice.

No forms. Your profile is generated instantly.

Job Type: Remote

Salary: Not Disclosed

Experience: Entry

Duration: Months

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