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 Millennials, and many others. C&F is part of Fairfax Financial Holdings. For more information about C&F, please visit our website: www.cfins.com Job Description 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. What you will do: AI solution design and technical authority 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. Hands-on build and delivery 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 AgentCore, MCP and related technologies to build scalable, secure, and maintainable AI applications. Standards, quality, and responsible AI 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. Enablement and technical mentorship 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. What you will bring to C&F: 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, reasoning workflows, and autonomous task execution. Track record of defining technical standards or solution patterns adopted by engineering teams beyond the candidate's own team. Experience leading design review or serving as technical authority across multiple teams, without relying on direct reporting lines. Strong software engineering skills with expertise in Python and modern cloud-native application development. Hands-on experience with AWS and modern AI services such as Amazon Bedrock. Experience developing and integrating APIs, enterprise platforms, and distributed systems. Strong understanding of cloud architecture, security, governance, ADLC delivery and operational excellence. Demonstrated ability to lead complex technical initiatives and influence architectural decisions across organizational boundaries. Preferred Qualifications Experience within