<p>Safety Insurance is proud to be one of the leading property and casualty insurance providers in Massachusetts. We are committed to supporting independent agents and their customers through our unwavering dedication to excellence. Our success is built on a simple philosophy: deliver the highest quality insurance products at competitive rates while providing exceptional service at every step.</p> <p>At Safety Insurance, we don't just offer jobs - we offer careers that are challenging, fulfilling, and designed to grow with you.</p> <p>Our people are our greatest asset. A diverse workforce makes us stronger, more innovative, and better equipped to serve our customers. At Safety, we empower our employees to be their best by fostering an inclusive environment and offering resources that support their careers, education, and families. We also understand the importance of work-life balance. That's why we offer hybrid work options, flexible schedules, and a 37.5-hour workweek. Conveniently located in the heart of Boston's financial district, our downtown office is a positive space where employees can stay connected to both each other and the pulse of the city.</p> <p>Safety's benefits go beyond the basics. In addition to competitive salaries, our comprehensive benefits package includes:</p> <ul> <li>Medical, vision, and dental insurance </li><li>3 weeks accrued PTO </li><li>100% matching 401(k) retirement plan </li><li>100% tuition reimbursement </li><li>Free on-site fitness center </li><li>Complimentary coffee and breakfast service </li><li>…and much more! </li></ul> <p>Join Safety Insurance and discover a career that's built to support your success - both personally and professionally.</p> <p>Job Summary</p> <p>Reporting to the Technical Operations Manager, the Enterprise Systems Architect is responsible for the ownership, enablement, and architectural design of enterprise business application. This has accountability into solution architecture, advanced integrations, and the operationalization of AI and large language model (LLM) capabilities within production applications. The position ensures enterprise platforms are stable, well-adopted, and architected as cohesive, scalable solutions aligned with business strategy, data architecture, integration standards, security, and governance. The role bridges business outcomes and technical execution, translating ideas into production-ready capabilities and measuring realized value over time.</p> <p>Responsibilities</p> <p>Platform Ownership & Enablement</p> <ul> <li>Own assigned enterprise business application platforms, ensuring stability, adoption, and continuous improvement. </li><li>Enable platforms through configuration, feature activation, and iterative enhancement beyond initial project delivery. </li><li>Partner with business units to identify needs and translate them into application capabilities and solution designs. </li><li>Run the full use-case lifecycle from intake through experimentation, pilot, production deployment, and iteration. </li><li>Coordinate operational activities including moves, adds, changes, patching, and release readiness. </li><li>Drive sustained adoption through training, documentation, feedback loops, and continuous refinement. </li><li>Report on platform health, adoption, and realized business value. </li></ul> <p>Solution Architecture & Integration</p> <ul> <li>Design end-to-end business application solutions spanning platforms, integrations, data sources, and automation. </li><li>Define and apply architectural patterns to ensure scalability, supportability, and reuse. </li><li>Evaluate solution approaches (configuration, integration, automation, extension, or new capability) and recommend the appropriate design. </li><li>Partner with architecture, data, security, and integration teams to ensure alignment with enterprise standards. </li><li>Act as a design authority for complex application changes and cross-platform solutions. </li></ul> <p>AI, LLM Integration & Operationalization</p> <ul> <li>Integrate and operationalize AI and LLM capabilities within production business applications. </li><li>Apply a pragmatic engineering and MLOps-lite approach to move AI solutions from experimentation into stable operations. </li><li>Ensure AI solutions are production-ready, secure, observable, and maintainable. </li><li>Enable and operationalize AI features embedded within existing enterprise platforms to prevent underutilization or shelfware. </li><li>Partner with vendors during early adoption and internalize knowledge to reduce long-term reliance on managed services. </li></ul> <p>Business Partnership, Governance & Value Measurement</p> <ul> <li>Partner with business leaders to shape application and capability roadmaps and drive adoption. </li><li>Establish and operate a governed, repeatable lifecycle for new use cases and enhancements. </li><li>Define baseline measurements prior to implementation, including effort, cycle time, and operational pain points. </li><li>Define success metrics and expected outcomes before work begins. </li><li>Measure and report realized value, including efficiency gains, cost avoidance, quality improvements, and experience enhancements. </li></ul>