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$106k–$197k/yr
Full-time
bachelor degree, postgraduate degree
Comprehensive benefits, Workplace flexibility, Professional development opportunities, Employee resource groups, Flexible time off
Posted 2d ago
~40 hrs/week
Responsibilities
The engineer will partner with data scientists to operationalize and deploy predictive and generative AI models as production microservices. They will also own the integration architecture, production health, and monitoring of these services within the claims domain.
Requirements
Candidates must have at least five years of software engineering experience with proficiency in Java, Spring Boot, and AWS cloud services. A bachelor's or master's degree in a technical or business discipline is required, along with experience in MLOps and event-driven architectures.
Full job description
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
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.
At Liberty Mutual, we believe progress happens when people feel secure. For more than 110 years we have helped people and businesses embrace today and confidently pursue tomorrow by providing protection for the unexpected and delivering it with care.
A Fortune 100 company with more than 40,000 employees in 28 countries and economies, we are the ninth largest global property and casualty insurer and generate more than $50 billion in annual consolidated revenue.
We operate through three strategic business units: US Retail Markets, providing auto, home, renters and other personal and small commercial lines property and casualty insurance to individuals and small businesses countrywide; Global Risk Solutions, delivering a full range of comprehensive commercial and specialty insurance, reinsurance and surety solutions to mid-size and large businesses worldwide; and Liberty Mutual Investments, deploying more than $100 billion of long-term capital globally across its integrated platform to drive economic growth, power innovation and secure Liberty Mutual’s promises.
For more information, visit www.libertymutualinsurance.com.
Offices: 175 Berkeley Street, Boston, MA 02116, US · 7900 Windrose Ave, Plano, Texas 75024, US · Safeco Plaza, 1001 4th Avenue, #3800, Seattle, WA 98154, US · 14050 N 83rd Ave, 100, Peoria, Arizona 85381, US · 4229 W Lake Mary Blvd, 100, Lake Mary, Florida 32746, US
How much do Data & Analytics jobs in Boston, MA pay?
Based on 2465 listings with disclosed salaries, most data & analytics jobs in Boston, MA pay between $80k–$215k per year. Individual offers vary with seniority, company size, and specialization.
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Companies currently hiring include State Street, Liberty Mutual Insurance, Amazon, WHOOP, Vertex Inc., among others. Browse the listings above to see every active employer.
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