About this role
Solutions Engineer, Software
Description
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Hiring Manager: Neel Ambati
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You must be authorized to work in the United States without employer sponsorship now or in the future. We will not sponsor employment visas. Candidates who will require future sponsorship, including candidates on CPT/OPT/STEMOPT who will require future sponsorship, are not eligible to apply.
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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 position follows a hybrid work model (2 days onsite) and is open to candidates located in Portsmouth, NH; Boston, MA; Plano, TX; Indianapolis, IN; and Columbus, OH.
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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 solutions engineer at Liberty Mutual, you’ll be responsible for guiding the development of system, technical and product standards based on business plans and long-term strategies, while working 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.
We encourage you to apply and bring your expertise if you’re a:
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Strategic partner: You take the big picture view, whether you’re supervising architecture migrations or maintaining critical relationships with vendors and business partners
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Motivated mentor: Exercise your technical chops while coaching and collaborating with junior software engineers.
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Systems-level engineer: Working hand-in-hand with your business partners, you’ll develop technical requirements and design robust and flexible product and system architectures
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Forward thinker: Leading by example, you’ll promote a culture of continuous improvement by finding solutions that increase efficiency, accelerate the adoption of new technologies and enhance profitability
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Domain-Level Responsible AI Transformation Lead: Drive AI strategy and execution across the Claims domain, delivering measurable improvements in software delivery and claim handling through AI-assisted engineering, agentic workflows, and conversational assistance grounded in approved claim data.
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Integration-minded architect: Set direction for secure APIs, event-driven integrations, and data flows that connect claim systems across multiple lines of business and source systems, while promoting resilient, supportable services through sound observability, incident response, and release practices.
Qualifications
Experience
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Ten years of related software engineering experience
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A comprehensive understanding of agile environments
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Extensive knowledge of contemporary frameworks and emerging technologies
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A history of practicing DevOps and SecOps
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A strong background in business operations and strategies, including knowledge of global business, technology trends and the financial services industry
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Demonstrated delivery of production AI solutions, Agentic application engineering and AI-enabled software delivery
Skills
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Solid negotiation, facilitation, consensus building and influencing capabilities
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Ability to identify patterns and problems across teams and deliver effective solutions
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Openness and adaptability to respond to fast-moving circumstances
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A design thinking and test-driven development mindset
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Excellent oral and written communication skills, and an aptitude for working in teams
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Experience developing or architecting cloud-hosted, responsive web applications using Java, HTML5 and CSS3
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Strong background in code review
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High-level proficiency with client-side JavaScript frameworks, server-side frameworks, and NoSQL databases
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Familiarity with event-based System of Engagement architectures and integration with API exposing microservices
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Deep understanding of layered solutions and designs
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Cognizance of security concerns, from access control and authentication to secured SDLC processes
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Understanding of DCI/MDM systems, data ingestion and cloud-scale data sets
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Experience with enterprise LLM platforms, retrieval systems, agent orchestration frameworks, and AI coding assistants.
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Experience establishing reusable AI patterns, evaluation frameworks, and lifecycle standards across multiple teams.
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Demonstrated ability to coach engineers in responsible AI adoption and communicate technical trade-offs to business stakeholders.
Education
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A Bachelor’s or Master’s degree in a technical or business discipline, or equivalent experience
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Employees may apply for a new role after completing 12 months of employment in their current position.
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Employees should review all role requirements and apply only for positions for which they are eligible. Hiring processes may vary by country, including differences in procedures, requirements, and timelines. For country-specific details, please consult your local recruiting / HR team.