Intelligent Systems Solutions Engineer- Liberty Mutual Investments Technology

Liberty Mutual Insurance • Boston, MA

4d • Hybrid

About The Position

Liberty Mutual Investments manages Liberty Mutual Insurance Group’s global financial assets across public and private domains, to create capital and generate income. With over $100 billion in AUM and staffed with 300+ investment, finance and operations professionals located in Boston, MA., Liberty Mutual Investments offers the best of both worlds; the look and feel of a boutique investment firm, and the reputation and financial strength of a Fortune 100 company.
Liberty Mutual Investments Technology (LMI Tech) is actively searching for a Solutions Engineer 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. You’ll be the technical quarterback tracking the fast-moving Gen AI ecosystem, translating capabilities into high-value investment use cases, and leading an engineering pod from whiteboard to production.
Note: This role has a required hybrid work arrangement (3x per week in Boston or NYC).

Requirements

• 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.
• Advanced knowledge of agile development methodologies as typically acquired through a Bachelor`s or Master`s degree in technical or business discipline or equivalent experience
• At least 10 years of related experience

Nice To Haves

• knowledge of MCP server patterns
• React
• LangChain or similar orchestration tools
• Investments domain exposure
• prompt engineering

Responsibilities

• Solution & architecture design: Map LLM/Gen AI capabilities to business needs; craft secure, scalable solution designs and guide the team through reviews and delivery
• Hands-on engineering: Rapidly prototype and code Gen AI proofs-of-concept; contribute production-quality Python (and occasional React) services running on AWS
• 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.
• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 251-500 employees