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Liberty Mutual Investments Technology (LMI Tech) is actively searching for a Solutions Architect to work across our organization to design and shape our overall Generative AI strategy. Join a green-field initiative to embed Generative AI across our Investments organization.

Requirements

• Advanced Python skills
• 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.
• Knowledgeable in software engineering languages and tools; proficient in new and emerging technologies
• In-depth knowledge of diverse and emerging technologies and new architectural concepts and principles
• In-depth understanding of layered solutions and designs; in-depth understanding of shared software concepts and product features, as well as security minded
• Proficient in all product and system components of technical architecture

Responsibilities

• Map LLM/Gen AI capabilities to business needs; craft secure, scalable solution designs and guide the team through reviews and delivery
• Rapidly prototype and code Gen AI proofs-of-concept; contribute production-quality Python (and occasional React) services running on AWS
• 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 that earns trust across technical and business teams
• 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
• Experience building services that integrate with LLM APIs (OpenAI preferred).

Other

• 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.
• Ability to communicate complex AI concepts to non-technical stakeholders and influence decision-makers with a calm, measured style.
• Required hybrid work arrangement (2x per week in Boston or NYC).
• Advanced knowledge of agile development methodologies as typically acquired through a Bachelors or Masters degree in technical or business discipline or equivalent experience
• At least 10 years of related experience