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Open nowPosted 192 days ago

Lead Engineer, AI-Native Product Development

Kroll79 open roles

Pay
$150,000 – $200,000 a year
Where
New York, NY, United States
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Your applicationOpen nowLead Engineer, AI-Native Product DevelopmentKroll · New York, NY, United States
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The clock on this job

Early applications get read.

8.1% of postings close within 7 days. Measured by our own scanner across the market. Kroll postings stay open a median of 5 days.

Share of postings closed within
  1. 1.8%1 day
  2. 3.5%3 days
  3. 8.1%7 days
  4. 15.1%14 days
  5. 33.9%30 days
This job: posted 192 days ago

Kroll median: 5 days open

The posting

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 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 wireframing 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 specific benefits available for your position.

About Kroll

Join the global leader in risk and financial advisory solutions—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 status, veteran status, age or disability.

The current salary range for this position is $150,000 to $200,000

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