Principal, AI Engineer; Remote

Crum & Forster Company Overview

Crum & Forster (C&F) provides market leading property & casualty, accident & health, specialty and standard commercial lines insurance solutions. A true underwriting company, we have a 200-year history of helping our customers manage risk with laser-focused expertise, integrity and discipline. Our people are empowered to make decisions and problem-solve with you smartly and swiftly. Our annual gross written premium is 6.2 billion.

C&F enjoys a financial strength rating of "A+" (Superior) by AM Best.

Our most valuable asset is our people. We have 3000 employees, and locations throughout the United States and India. With our employee-first focus, the Company is consistently recognized as a great place to work, earning multiple workplace and wellness awards, including the Great Place to Work® Award, Fortune 100 Best Companies to Work For, Fortune Best Workplaces for Parents, Fortune Best Workplaces for Millennia ls, and many others.

C&F is part of Fairfax Financial Holdings. For more information about C&F, please visit our website:

Crum & Forster is seeking a Principal AI Engineer (GenAI & Agentic AI) to lead the AI solution architecture, and delivery of next-generation AI solutions that transform insurance operations. This role will drive the adoption of Generative AI and Agentic AI across underwriting, claims, policy servicing, and corporate functions by building enterprise-grade applications, intelligent automation, and AI-powered assistants.

As a senior technical leader, you will partner with business and technology stakeholders to identify high-value opportunities, establish scalable AI architecture patterns, and deliver secure, responsible, and measurable AI solutions.

This is a unique opportunity to help build C&F's next generation AI capabilities from the ground up, influencing enterprise AI strategy, defining engineering standards, and delivering high-impact solutions in a largely greenfield environment.

This role is fully remote within the United States.

• Lead the architecture, design, and implementation of enterprise-scale Generative AI and agentic AI solutions including the target-state solution design for generative and agentic AI - foundation model integration, retrieval-augmented generation, tool use, orchestration frameworks, and multi-agent patterns.
• Define the reusable AI capability and pattern library that federated teams build on, so that capability is built once and inherited rather than rebuilt.
• Leads AI solution design reviews across central and federated builds and provide technical sign-off within the AI readiness gates.
• Set technical standards for evaluation, groundedness, guardrails, observability, security and cost engineering, and hold builds to them.
• Evaluate AI platforms and tooling and recommend direction in alignment with Enterprise Architecture standards.

• Personally design, build and deliver the foundational shared AI capabilities - platform, runtime, retrieval primitives, agent frameworks, and the evaluation harness.
• Lead the technical delivery of prioritized flagship initiatives that establish the pattern for everything that follows.
• Build AI-powered assistants, copilots, workflow automation, and knowledge retrieval systems that improve business outcomes and employee productivity.
• Leverage AWS Bedrock, Bedrock Agent Core, MCP and related technologies to build scalable, secure, and maintainable AI applications.

• Establish and enforce engineering practices for AI evaluation, model risk, observability, auditability, and responsible AI, in partnership with the AI Risk and Reliability Engineering Lead.
• Ensure every AI solution is instrumented for groundedness, quality, drift, and cost from the first commit rather than retrofitted before go-live.

• Provide technical leadership and mentorship to AI engineers within the central team and to engineers building AI within federated development domains.
• Lead the technical Community of Practice: shared libraries, office hours, code and design reviews, and internal enablement on agentic engineering.
• Partner with external accelerators to absorb expertise into the ADLC practice, mentor engineers and provide technical leadership across AI platform and application development efforts
• Stay current on emerging AI technologies and recommend approaches that create business value.

• Bachelor's degree or equivalent in computer science, Engineering, Data Science, or a related field.
• 10+ years of experience in software engineering, solution architecture, platform engineering, or AI/ML development.
• 4+ years of hands-on experience designing and delivering Generative AI, AI-Native, or LLM-based solutions in production environments.
• Demonstrated experience building agentic AI systems in production - orchestration, tool calling, retrieval frameworks,…