Intelligent Systems Solutions Engineer- Liberty Mutual Investments Technology

About the role

Liberty Mutual Investments Technology (LMI Tech) is actively searching for a Solutions Engineer to work across the organization to design and shape our overall Generative AI strategy. This role has a required hybrid work arrangement (3x per week in Boston or NYC).

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 that earns trust across technical and business teams

Qualifications

• 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
• 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; prompt engineering

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 backed by competitive benefits and work-life balance