Principal Gen AI Developer

Description

We deliver our customers peace of mind every day by helping them protect what they value most. Our passion for placing the customer at the center of everything we do is driving a transformational shift at Liberty Mutual. Operating as a tech startup within a Fortune 100 company, we are leading a digital disruption that will redefine how people experience insurance.

 

At Liberty, you'll thrive in a hybrid setting that fosters in-person collaboration, innovation and growth. This approach optimizes both remote and in-person interactions, enabling you to connect and ideate with your team and deepen valuable relationships across the company, while still enjoying the flexibility of remote work for focused tasks and projects. 

 

 

This role has a hybrid work schedule (2 days onsite) and we are considering candidates based in Portsmouth, NH, Boston, MA, Plano, TX, Columbus, OH, Indianapolis, IN.

 

Job summary:

 

The Personal Lines Policy team within the US Retail Markets (USRM) organization is where we design, build, and evolve modern, best-in-class Policy Platform software solutions for Personal Lines insurance products. 

 

The team is looking to hire a Principal Gen AI Developer who will apply their talent in a hybrid agile environment that has the creative and technical passion of a start-up and the full backing and comprehensive benefits of a Fortune 100 company. This is a fast-paced role where you’ll rapidly iterate and deliver on software, while bringing your talents to the table as a strategic shaper of our success. You will be working in a highly collaborative, team-oriented environment that values speed and quality, with a strong focus on driving continuous improvement.

 

This role is perfect for someone with a passion for cutting-edge generative AI, a strong software engineering background, and the creative spark to identify and implement novel use cases within our product. You will play a critical role in adding AI capabilities to our Insurance (Insur-Tech) API platform space. Whether it's enhancing user workflows, automating insights, or inventing entirely new product experiences, you’ll have both the freedom and support to experiment and execute.

 

PL Products provides a uniquely rich dataset covering the full scope of a company’s cloud spend. This expansive data playground offers a powerful foundation for experimentation and insight generation, enabling the development of intelligent, value-driven features. 

 

Why Join Us?

• A fast-moving environment where innovation is encouraged
• Ownership of high-impact, user-facing features
• The chance to push the limits of what generative AI can do in a real FinOps product
• A collaborative team that values learning, bold thinking, and autonomy
• A fast-growing company that values its employees and promotes positivity and doing more.

About the job:

• Design, build, and deploy generative AI-powered features across our product.
• Identify opportunities for AI integration by proactively exploring use cases and user needs
• Prototype and validate new AI use cases quickly and iterate based on internal and external feedback
• Champion AI-driven transformation across teams by identifying high-impact use cases and prioritizing implementation efforts
• Create prompt libraries that support scalable communication, onboarding, success planning, and project management
• Collaborate with team leads to spot manual, repetitive processes and reimagine them with AI solutions and tooling
• Continuously test, improve, and document new AI workflows to share knowledge across the departments
• Maintain complex data integrations for our systems
• Help build a culture of AI curiosity and experimentation
• Collaborate cross-functionally with product, design, and backend teams to drive innovation from concept to production
• Stay current with the fast-moving generative AI landscape and evaluate new models, APIs, and tools (e.g., OpenAI, Anthropic, Hugging Face, AWS Bedrock, open-source LLMs). 
• Live in the future and track new innovations and paradigms in this fast-evolving field, and identify opportunities to integrate them into the product
• Implement safeguards, prompt engineering techniques, and usage monitoring to ensure high-quality AI outputs
• Optimize model performance, inference time, and cost efficiency within our cloud & on-prem infrastructure

Qualifications

• Bachelor’s degree in comp