Lead Engineer, AI-Native Product Development

Kroll is building AI-enabled internal products that materially accelerate how our advisory professionals work. This role is not traditional software engineering. It is AI-orchestrated product development
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The Lead Engineer will own end-to-end build streams—designing, developing, testing, and shipping internal tools that enhance core workflows across valuation, investigations, restructuring, cyber, and compliance. You will operate as a force multiplier by leveraging agentic coding systems and multi-agent orchestration to compress development cycles while maintaining production-grade quality.

This role requires technical depth, architectural judgment, and fluency in AI-driven development paradigms.

• Own full-stack development of AI-enabled internal products
• Translate workflow requirements into scalable application architectures
• Deliver production-grade systems—not prototypes—aligned with enterprise security and governance requirements
• Maintain accountability for performance, reliability, and maintainability

• Design and orchestrate swarms of coding agents to:
  • Generate modular code components
  • Refactor and optimize legacy code
  • Write and execute test suites
  • Generate documentation and developer artifacts
• Use tools such as Claude Code and related agentic frameworks to accelerate development cycles
• Build repeatable development pipelines that combine human oversight with AI execution
• Architect guardrails for deterministic outputs, version control integrity, and testing validation

Leverage AI across the entire SDLC:

• UX wire framing and rapid interface prototyping
• Schema design and backend service scaffolding
• Automated test generation and regression testing
• Performance tuning and debugging support
• CI/CD pipeline enhancement

You are expected to apply AI not only to coding, but to product design, QA, and documentation.

• Partner with Product and AI Transformation leaders to prioritize high-impact workflow tools
• Work directly with service line stakeholders to understand domain constraints and regulatory considerations
• Collaborate with data and ML engineers when integrating models or AI services
• Ensure defensibility, security, and compliance alignment in all builds

• 6–10+ years of full-stack software engineering experience
• Proven experience building and shipping production systems
• Deep familiarity with modern web frameworks (frontend and backend)
• Strong architectural design capability

• Demonstrated proficiency with agentic coding tools (e.g., Claude Code or equivalent)
• Experience orchestrating multi-agent workflows for development tasks
• Comfort designing systems where AI is embedded into the build process itself
• Ability to evaluate, validate, and supervise AI-generated code rigorously

• Frontend frameworks (e.g., React, Next.js or similar)
• Backend development (Node, Python, or similar)
• API design and integration
• Cloud-native architecture
• Automated testing frameworks and CI/CD

• Internal tools that materially reduce advisory workflow cycle times
• High code quality despite accelerated build cycles
• AI-driven development pipelines that reduce time-to-ship by 30–60%
• Repeatable patterns for agentic development institutionalized across the team

Your recruiter will be happy to walk you through your U.S.

-specific benefits, which include:

• Healthcare Coverage:
  Comprehensive medical, dental, and vision plans.
• Time Off and Leave Policies:
  Generous paid time off (PTO), paid company holidays, generous parental and family leave.
• Protective Insurances:
  Life insurance, short- and long-term…