Overview Solutions Architect, Gen AI - Liberty Mutual Investments Technology. Liberty Mutual Investments manages Liberty Mutual Insurance Group’s global financial assets across public and private domains, with over $100 billion in AUM and 300+ professionals in Boston, MA. Liberty Mutual Investments Technology (LMI Tech) is seeking a Solutions Architect to design and shape the Generative AI strategy, leading a green-field initiative to embed Gen AI across the Investments organization. You’ll be the technical quarterback tracking the Gen AI ecosystem, translating capabilities into high-value investment use cases, and leading an engineering pod from whiteboard to production. Note: This role requires a hybrid work arrangement (2x per week in Boston or NYC). Base pay range $142,000.00/yr - $254,000.00/yr Why join us Mission impact: Shape the Gen AI strategy for a highly regulated, high-stakes Investments environment where innovation drives real portfolio value. Green-field canvas: Build new capabilities from scratch with executive sponsorship and strong R&D investment. Growth & visibility: Own both the architecture vision and the code, interfacing with senior leadership while mentoring a hand-picked team. People-centric culture: Collaborative, inclusive, and outcome-focused with competitive benefits and work-life balance. Responsibilities 40% Solution & architecture design: Map LLM/Gen AI capabilities to business needs; craft secure, scalable solution designs and guide the team through reviews and delivery. 40% Hands-on engineering: Rapidly prototype and code Gen AI proofs-of-concept; contribute production-quality Python (and occasional React) services running on AWS. 20% Stakeholder & product collaboration: Partner with the Product Owner and Investments stakeholders to refine requirements, set technical direction, and evangelize Gen AI opportunities. Liaise with Compliance, Privacy, and central GenAI teams. Additional duties Continuously scan the Gen AI landscape: model releases, orchestration frameworks, prompt-engineering trends and assess fit for our roadmap. Establish engineering standards for code quality, observability, cost-efficient LLM usage, and secure development. Mentor MLOps engineers and full-stack developers; foster a dynamic, collaborative culture across technical and business teams. Qualifications Design of end-to-end solutions as an architect or senior engineer; proven Tech Lead for small, agile teams and the ability to work through others. Advanced Python skills; experience building services that integrate with LLM APIs (OpenAI preferred). Solid understanding of AWS primitives (Lambda/ECS/Fargate, S3, IAM, networking) and secure-by-design principles. Comfort with MLOps concepts (model lifecycle, evaluation, monitoring) and CI/CD automation. Ability to communicate complex AI concepts to non-technical stakeholders and influence decision-makers with a calm, measured style. Nice-to-haves: knowledge of MCP server patterns, React, LangChain or similar orchestration tools, Investments domain exposure. About Us Pay Philosophy: The typical starting salary range for this role is determined by several factors including skills, experience, education, certifications and location. The full salary range reflects the competitive labor market value for all employees in these positions across the national market. Liberty Mutual is an equal opportunity employer. We value diversity and are committed to creating an inclusive environment. For more on benefits, visit: https://LMI.co/Benefits. We comply with applicable laws and do not discriminate on the basis of race, color, national origin, sex, sexual orientation, gender identity, religion, age, disability, veteran status, pregnancy, genetic information or any other protected status.

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