Full-Stack AI Developer

About Our Company

H.W. Kaufman Group is a powerful global network of companies dedicated to shaping the future of insurance. With thousands of dedicated professionals across an extensive network of over 60 offices around the world, we lead by offering innovative solutions that are at the forefront of the industry. We are privately owned and thus free from the influence of Wall Street. This allows us the ability to adapt to constantly fluctuating market conditions.

From brokerage, underwriting, and real estate to claims, loss control and risk management services, our depth of services is unrivaled.

About Our Company

H.W. Kaufman Group is a powerful global network of companies dedicated to shaping the future of insurance. With thousands of dedicated professionals across an extensive network of over 60 offices around the world, we lead by offering innovative solutions that are at the forefront of the industry. We are privately owned and thus free from the influence of Wall Street. This allows us the ability to adapt to constantly fluctuating market conditions.

From brokerage, underwriting, and real estate to claims, loss control and risk management services, our depth of services is unrivaled.

Equal Opportunity Employer

The H.W. Kaufman Group of companies is an equal opportunity employer. All employment decisions are based on business needs, job requirements and individual qualifications, without regard to race, color, religion, gender, gender identity, age, national origin, disability, veteran status, marital status, pregnancy, sexual orientation, genetic information or any other status or condition protected by the laws or regulations in the locations where we operate.

In addition, Kaufman will make reasonable accommodations to known physical or mental limitations of an otherwise qualified person with a disability, unless the accommodation would impose an undue hardship on the operation of our business.

H.W. Kaufman Group is building an AI Value Engineering capability inside Information Technology to engineer measurable business value across the enterprise. The AI Value Engineering team operates at the intersection of application development, RPA, data, business operations, and AI-enabled delivery. Its charter is to deliver high-impact solutions across quick-strike and deep-dive engagements, partner closely with business stakeholders, transition proven solutions to sustaining teams, and stop initiatives quickly when they are not proving value.

The team is measured on portfolio impact, successful handoffs, quantified business value, disciplined focus, and the ability to avoid becoming a maintenance or production-support function.

This role is for a hands-on, AI-enabled developer who can move across applications, automation, data, and business operations to identify high-impact opportunities, build working solutions, prove their work, and transition responsibly to sustaining teams.

We are looking for developers for whom building software is more than a job. Strong candidates are resourceful, curious, disciplined, and energized by solving problems. They have opinions shaped by experience, reading, experimentation, and exposure to good engineering practices. They understand that AI changes the speed of software delivery, but not the need for judgment, craftsmanship, business understanding, and accountability.

This role is best suited for a T-shaped or comb-shaped technologist broad enough to wire together platforms, data, APIs, automations, and user workflows; deep enough to make sound technical decisions and avoid fragile solutions.

What Success Looks Like

• Take a loosely defined business problem, clarify the value hypothesis, and produce a working demonstration quickly
• Know when an AI agent’s recommendation is plausible, risky, over-engineered, or misaligned with enterprise supportability
• Move comfortably between front-end, back-end, integration, data, workflow automation, and platform configuration
• Actively look for simpler, faster, more supportable paths rather than merely implementing the first technical answer
• Produce solutions that can be handed off cleanly; you do not create hidden dependencies on yourself
• Communicate tradeoffs clearly to technical and non-technical audiences

• Deliver quick-strike solutions in days or weeks where business value is clear and the path is known
• Contribute to deeper exploratory engagements over one to three months where the solution is uncertain, but the potential value is high
• Build prototypes, automations, integrations, data-driven workflows, and application features across Salesforce, Mule Soft, .NET, RPA, AI/ML tooling, and related enterprise platforms
• Use AI development tools such as Claude, Codex, Gemini, Copilot, or similar agents to accelerate delivery while validating architectural fit, maintainability, security, and operational risk
• Work directly with underwriting, claims, operations, and IT stakeholders to understand workflows, pain points, value…