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Lead Engineer, AI-Native Product Development

Job in New York City, Richmond County, New York, USA
Listing for: Kroll Inc.
Full Time position
Listed on 2026-06-28
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Backend Developer, Software Architect
Job Description & How to Apply Below

Kroll AI-Orchestrated Product Development Lead Engineer

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.

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.

Core Responsibilities:

1. End-to-End Product Ownership

  • 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

2. Agentic Development & Multi-Agent Orchestration

  • 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

3. AI-Accelerated Engineering Lifecycle

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.

4. Cross-Functional Collaboration

  • 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
Qualifications:

Required Experience

  • 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

AI-Native Engineering 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

Technical Breadth

  • 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

What Success Looks Like

  • 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 disability coverage, and accident protection.
  • Compensation and Rewards:
    Competitive salary structures, performance-based incentives, and merit-based compensation reviews.
  • Retirement Plans: 401(k) plans with company matching.

Please note that benefits may vary by region, department and role. We encourage you to speak with your recruiter to learn more about the…

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