Lead Engineer, AI-Native Product Development
AI summary of the role
Lead Engineer owning end-to-end development of AI-enabled internal products for Kroll's advisory workflows across valuation, investigations, restructuring, cyber, and compliance.
What you’ll do
- Own full-stack development of AI-enabled internal products, from design to shipping
- Design and orchestrate swarms of coding agents to generate code, refactor, test, and document
- Leverage AI across the entire SDLC: UX wireframing, schema design, test generation, CI/CD
- Partner with Product and AI Transformation leaders to prioritize high-impact workflow tools
What you’ll bring
- 6–10+ years of full-stack software engineering experience
- Proven experience building and shipping production systems
- Demonstrated proficiency with agentic coding tools (e.g., Claude Code or equivalent)
- Experience orchestrating multi-agent workflows for development tasks
Technologies
Claude Code · React · Next.js · Node · Python · CI/CD · multi-agent orchestration · agentic coding · cloud-native architecture · automated testing
Source and classification
Internal deployment & tooling · Evidence for this classification:
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
More from the job description
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 [... source excerpt omitted ...] d 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 bui [... source excerpt omitted ...] Kroll. With a nearly century-long legacy, we blend trusted expertise with cutting-edge technology to navigate and redefine industry complexities. As a part of One Team, One Kroll, you'll contribute to a collaborative and empowering environment, propelling your career to new heights. Ready to build, protect, restore and maximize our clients’ value? Your journey begins with Kroll. In order to be considered for a position, you must formally apply via careers.kroll.com. We are proud to be an equal opportunity employer and will consider all qualified applicants regardless of gender, gender identity, race, religion, color, nationality, ethnic origin, sexual orientation, marital sta
Employer postings · Data from · Sources