Develop and operate production microservices that operationalize predictive and generative AI models for claims systems. Responsibilities include building AWS-based feature pipelines, APIs, event-driven integrations, monitoring, alerting, CI/CD, and model evaluation frameworks. The engineer partners with data scientists, product teams, and enterprise platform teams, supports live services through on-call responsibilities, translates requirements into technical designs, and leads implementation and continuous improvement.
Description
Do you have the skills - and drive - to join a tech team that's working to digitally transform a trillion-dollar industry? From test-driving the latest technologies to creating intuitive consumer apps, Liberty Mutual is constantly innovating and creating industry-leading solutions that provide peace of mind for our customers worldwide. As a senior software engineer at Liberty Mutual, you'll apply your talents in an agile environment that has the creative energy of a start-up - and the full backing and comprehensive benefits of a Fortune 100 company.
About the team
You'll join The Auto Physical Damage (APD) squad within Liberty Mutual's Claims Predictive Modeling domain. Our engineers are the bridge between data science and production: we partner directly with data scientists to take predictive and generative AI models out of the lab and operationalize them as real-time and batch services that drive automated claims decisions.
U.S. Based role only
Hybrid role: Requires two days in the office a week in Plano, Boston, Portsmouth, Indianapolis, or Columbus.
Who you'll work with
You'll sit on a scrum squad alongside product owners, a solutions engineer, and fellow engineers - and you'll work shoulder-to-shoulder with the claims data science team. Data science owns model development and prompt engineering; Our team owns the deployed environments, the integration architecture, and the production health of everything that ships. You'll also partner with the teams that consume our output, including the adjuster-facing claims platforms and downstream subrogation and intake systems.
Responsibilities
Qualifications
Nice to have, but not required
About Us
Pay Philosophy: The typical starting salary range for this role is determined by a number of factors including skills, experience, education, certifications and location. The full salary range for this role reflects the competitive labor market value for all employees in these positions across the national market and provides an opportunity to progress as employees grow and develop within the role. Some roles at Liberty Mutual have a corresponding compensation plan which may include commission and/or bonus earnings at rates that vary based on multiple factors set forth in the compensation plan for the role.
At Liberty Mutual, our goal is to create a workplace where everyone feels valued, supported, and can thrive. We build an environment that welcomes a wide range of perspectives and experiences, with inclusion embedded in every aspect of our culture and reflected in everyday interactions. This comes to life through comprehensive benefits, workplace flexibility, professional development opportunities, and a host of opportunities provided through our Employee Resource Groups. Each employee plays a role in creating our inclusive culture, which supports every individual to do their best work. Together, we cultivate a community where everyone can make a meaningful impact for our business, our customers, and the communities we serve.
We value your hard work, integrity and commitment to make things better, and we put people first by offering you benefits that support your life and well-being. To learn more about our benefit offerings please visit: https://LMI.co/Benefits
Liberty Mutual is an equal opportunity employer. We will not tolerate discrimination on the basis of race, color, national origin, sex, sexual orientation, gender identity, religion, age, disability, veteran's status, pregnancy, genetic information or on any basis prohibited by federal, state or local law.
Fair Chance Notices
$106,000.00 - 197,000.00
Do you have the skills - and drive - to join a tech team that's working to digitally transform a trillion-dollar industry? From test-driving the latest technologies to creating intuitive consumer apps, Liberty Mutual is constantly innovating and creating industry-leading solutions that provide peace of mind for our customers worldwide. As a senior software engineer at Liberty Mutual, you'll apply your talents in an agile environment that has the creative energy of a start-up - and the full backing and comprehensive benefits of a Fortune 100 company.
About the team
You'll join The Auto Physical Damage (APD) squad within Liberty Mutual's Claims Predictive Modeling domain. Our engineers are the bridge between data science and production: we partner directly with data scientists to take predictive and generative AI models out of the lab and operationalize them as real-time and batch services that drive automated claims decisions.
U.S. Based role only
Hybrid role: Requires two days in the office a week in Plano, Boston, Portsmouth, Indianapolis, or Columbus.
Who you'll work with
You'll sit on a scrum squad alongside product owners, a solutions engineer, and fellow engineers - and you'll work shoulder-to-shoulder with the claims data science team. Data science owns model development and prompt engineering; Our team owns the deployed environments, the integration architecture, and the production health of everything that ships. You'll also partner with the teams that consume our output, including the adjuster-facing claims platforms and downstream subrogation and intake systems.
Responsibilities
- Model operationalization: Partner with data scientists to deploy models as production microservices, building the feature pipelines, orchestration, and integration layers that deliver predictions to downstream claims systems
- Integration engineering: Build and maintain event-driven and API-based integrations between predictive services and enterprise claims platforms, including Guidewire Navigator and FNOL intake
- GenAI enablement: Help operationalize generative AI use cases in the claims space - including prompt-driven services and the evaluation frameworks that measure whether LLM output is good enough to act on
- Production ownership: Own monitoring, alerting, and operational support for the services the squad runs, including on-call and service desk support for live model integrations
- Collaborative partner: Working with our team of scrum masters, product owners and fellow engineers, you'll tackle technical challenges and ensure quality as we move from legacy technologies to next-generation applications
- Comprehensive problem-solver: As you manage the end-to-end development of software products, you'll analyze issues at the system level and handle any complications that arise by implementing effective solutions
- Skilled technical engineer: You'll document and lead the implementation of technical features, improvements and innovations
- Forward thinker: Simply fixing the problem isn't enough; using your proactive mindset and initiative, you'll continually look for ways to improve performance, quality and efficiency
Qualifications
- A minimum of five years of software engineering experience
- Hands-on experience with Java and Spring Boot for microservice development
- Experience building on AWS - Lambda, API Gateway, Step Functions, SQS, DynamoDB, S3, and RDS/MySQL - ideally with infrastructure as code (AWS CDK)
- Python for CDK
- Experience with event-driven and data pipeline technologies such as Kafka, Apache Airflow, and Snowflake
- Familiarity with MLOps concepts - model deployment, versioning, feature pipelines, and monitoring of model-serving services
- Experience with observability tooling (Datadog, Splunk) and CI/CD pipelines
- A history of translating client requirements into technical designs
- Agile engineering capabilities and a design-thinking mindset
- Collaboration, adaptability, flexibility and the ability to manage time and prioritize work with a globally distributed development team
- Strong oral and written communication skills - and a knack for explaining your decision-making process to non-engineers
- A thorough grasp of IT concepts, business operations, design and development tools, system architecture and technical standards, shared software concepts and layered solutions and designs
- An understanding of how modifications affect different parts of a system
- A background in business operations and strategies, with a focus on business IT
- A bachelor's or master's degree in a technical or business discipline, or equivalent experience
Nice to have, but not required
- Exposure to LLM/GenAI application patterns - prompt engineering, retrieval, evaluation and quality metrics
- Insurance claims domain knowledge
- Databricks platform
- Experience with computer vision or OCR pipelines
About Us
Pay Philosophy: The typical starting salary range for this role is determined by a number of factors including skills, experience, education, certifications and location. The full salary range for this role reflects the competitive labor market value for all employees in these positions across the national market and provides an opportunity to progress as employees grow and develop within the role. Some roles at Liberty Mutual have a corresponding compensation plan which may include commission and/or bonus earnings at rates that vary based on multiple factors set forth in the compensation plan for the role.
At Liberty Mutual, our goal is to create a workplace where everyone feels valued, supported, and can thrive. We build an environment that welcomes a wide range of perspectives and experiences, with inclusion embedded in every aspect of our culture and reflected in everyday interactions. This comes to life through comprehensive benefits, workplace flexibility, professional development opportunities, and a host of opportunities provided through our Employee Resource Groups. Each employee plays a role in creating our inclusive culture, which supports every individual to do their best work. Together, we cultivate a community where everyone can make a meaningful impact for our business, our customers, and the communities we serve.
We value your hard work, integrity and commitment to make things better, and we put people first by offering you benefits that support your life and well-being. To learn more about our benefit offerings please visit: https://LMI.co/Benefits
Liberty Mutual is an equal opportunity employer. We will not tolerate discrimination on the basis of race, color, national origin, sex, sexual orientation, gender identity, religion, age, disability, veteran's status, pregnancy, genetic information or on any basis prohibited by federal, state or local law.
Fair Chance Notices
- California
- Los Angeles Incorporated
- Los Angeles Unincorporated
- Philadelphia
- San Francisco
$106,000.00 - 197,000.00
Similar Jobs at Liberty Mutual Insurance
Artificial Intelligence • Fintech • Insurance • Marketing Tech • Software • Analytics
Develop full-stack, data-centric applications with GenAI capabilities, agentic workflows, predictive models, APIs, data pipelines, databases, and cloud infrastructure. Responsibilities include designing technical solutions, collaborating with data scientists and stakeholders, provisioning data for AI workflows, automating testing, supporting applications throughout their lifecycle, reducing technical debt, and promoting engineering excellence in an agile environment.
Top Skills:
AgentcoreAmazon Api GatewayAmazon DynamodbAmazon EcsAmazon S3Amazon SqsAws CdkAws FargateAws GlueAws LambdaAws Step FunctionsAzure DevopsBambooCrewaiDatadogGithub ActionsJenkinsJSONKnowledge GraphsLangchainLanggraphLangsmithMicroservicesMlflowNode.jsPgvectorPostgresPostmanPythonRagReactRest ApisSemantic SearchSQLTypescriptVector Stores
Artificial Intelligence • Fintech • Insurance • Marketing Tech • Software • Analytics
Develop full-stack, data-centric applications using Python, TypeScript, React, AWS, APIs, data pipelines, and GenAI capabilities. Responsibilities include designing technical solutions, provisioning data for AI workflows, building ingestion and analytics systems, automating testing, supporting applications throughout their lifecycle, reducing technical debt, and collaborating with data scientists, product managers, and stakeholders in an agile environment.
Top Skills:
AgentcoreAmazon Api GatewayAmazon DynamodbAmazon EcsAmazon S3Amazon SqsAws CdkAws FargateAws GlueAws LambdaAws Step FunctionsAzure DevopsBambooCrewaiDatadogGithub ActionsJenkinsJSONKnowledge GraphsLangchainLanggraphLangsmithLlm OrchestrationMicroservicesMlflow 3Node.jsPgvectorPostgresPostmanPythonRagReactRest ApisSemantic SearchSQLTypescriptVector Stores
Artificial Intelligence • Fintech • Insurance • Marketing Tech • Software • Analytics
Handles inbound calls and warm leads to understand customers’ insurance needs, recommend appropriate coverages, and convert prospects into policyholders. The role includes paid training and Property & Casualty licensing, customer communication, sales closing, and brand representation. Employees work remotely, follow assigned evening and weekend schedules, maintain required home-office and internet standards, and remain in their resident state for at least one year.
Top Skills:
Cable InternetDsl InternetFiber InternetPc
What you need to know about the Colorado Tech Scene
With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.
Key Facts About Colorado Tech
- Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
- Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
- Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
- Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute

