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Lead Engineer, AI-Native Product Development
Job in
New York City, Richmond County, New York, USA
Listed on 2026-06-01
Listing for:
Kroll
Full Time
position Listed on 2026-06-01
Job specializations:
-
Software Development
AI Engineer
Job Description & How to Apply Below
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
- 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
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
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
- 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
-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.
Ab…
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