Software Engineer - Artificial Intelligence

Berkshire Hathaway Direct Insurance Company; Stamford (CT); Hybrid; USD 80,000 - 130,000; Full time

Benefits offered by this job

Medical and vision insurance

4 floating holidays

Paid parental leave

401(k) with company match

Education assistance

Job summary

Berkshire Hathaway Direct Insurance Company is seeking a talented engineer to join the R&D team building AI algorithms for underwriting, pricing, and premium audit. You will develop, test, and deploy Python-based models, collaborate across teams, and apply P&C insurance knowledge to risk-based AI systems.

The role is hybrid with two mandatory in-office days per week at the Stamford, CT location, with comprehensive benefits and a strong Berkshire Hathaway backing.

Qualifications

• Minimum 2 years of professional experience.
• 2 years of programming or 2 years of Commercial Property and Casualty Insurance Experience.

Responsibilities

• Develop, test, and update Artificial Intelligence algorithms in Python.
• Write clean, scalable code using our current technology stack.
• Apply Property & Casualty Insurance knowledge to the risk-based AI algorithms.
• Participate and contribute with design, research, and technical discussions.
• Develop strong partnerships with business teams and other groups.
• Test, deploy, and refactor algorithms and code as needed to meet Berkshire Hathaway standards.

Skills

Python

Communication

Problem solving

Agile design

Education

Bachelor’s degree in Computer Science/Engineering/Related field or equivalent

Tools

Microsoft Azure

Job description

Description

We are the team that enables customers to purchase insurance policies direct online through biBERK, which is proud to be a part of Berkshire Hathaway Insurance Group. We support our marketing initiatives by delivering personalized customer experiences and we support our back office by creating efficiencies and continual improvement around their processes.

This role would be part of the R&D team for a fast-growing insurance technology leader. The goal is to help us build artificial intelligence algorithms, which replicate traditional human effort in insurance industry in Underwriting, Pricing, and Premium Audit. The algorithms are built using a variety of tools such as machine learning, logic based coding, utilizing third-party integrations, and modern AI learning tools. The algorithms are aided using our own data, third-party data, and expert input from various departments.

In this role, you will be an integral team with outstanding communication, collaboration, and attention to detail. You will be counted on to build robust models, write functional code, and to work with others to research and develop solutions. We have exciting opportunities for you to innovate, influence, transform, inspire, and grow within Berkshire Hathaway.

This job is hybrid with 2 mandatory in-office days per week at our Stamford, CT location.

Job Responsibilities

• Develop, test, and update Artificial Intelligence algorithms in Python
• Write clean, scalable code using our current technology stack
• Apply Property & Casualty Insurance knowledge to the risk-based AI algorithms
• Participate and contribute with design, research, and technical discussions
• Develop strong partnerships with business teams and other groups
• Demonstrate the ability to test and deploy algorithms and revise, update, debug, and refactor code
• Deliver the required capabilities per Berkshire Hathaway standards

Requirements

Required Qualifications:

• 2 years of professional experience
• 2 years of programming or 2 years of Commercial Property and Casualty Insurance Experience

Preferred Qualifications:

• Bachelor’s degree in Computer Science/Engineering/Related field or equivalent working experience
• Practical working knowledge of Microsoft Azure
• Strong design, coding, debugging and problem-solving skills
• Outstanding communication, collaboration capabilities, and attention to detail
• Understanding of architectural, design, and agile patterns and methodologies
• Advanced Python Knowledge

About Us

biBerk is where commercial insurance buyers can obtain coverage for their businesses from insurers of the Berkshire Hathaway group of Insurance Companies, one of the best capitalized insurance groups in the world. Our ultimate parent, Berkshire Hathaway Inc. (berkshirehathaway.com) is a holding company with diversified interests in a host of industries, including insurance, energy, transportation and manufacturing. Most policies issued through biBerk.com will be underwritten by Berkshire Hathaway Direct Insurance Company ("BHDIC"), which is an AM Best rated A++ insurer.

BHDIC is domiciled in Omaha, Nebraska. BHDIC and the team at biBerk are focused on helping small business owners quickly and easily buy affordable insurance directly from a financially strong insurance company they can trust.

BHDIC is excited to announce our comprehensive benefits package with some new and enhanced features for 2026 that include:

• Medical (PPO/HDHP), vision, disability, and life insurance.
• Enhanced dental plan with orthodontia coverage in addition to a standard plan.
• Generous PTO plan for all benefit-time eligible employees.
• Paid company holidays and 4 floating holidays.
• Paid parental leave.
• Employee Retirement Savings Plan/401(k) with company match and immediate vesting.
• Education Assistance Program that offers 100% upfront tuition reimbursement after 6 months of service for approved degree programs.
• Service Recognition Program that provides a monetary award to be used toward a vacation every 5 years of employment.
• Wellness Initiatives that include Fitness Center and Weight Watchers Reimbursement programs.
• Voluntary benefits that include accident, critical illness, and hospital indemnity.
• Employee discount and rewards program on travel, tickets, electronics, home, and more.

In accordance with pay transparency laws and regulations, the following good faith compensation range estimate is being provided. The salary range for this position is $80,000 - $130,000 per year. Final compensation will be based on candidate qualifications, geographic location, and other considerations permitted by law. This position does not have bonus potential.