About the Role
Note: The job is a remote job and is open to candidates in USA. Crum & Forster is an insurance company seeking a Principal AI Engineer to lead the architecture and delivery of next-generation Generative AI and Agentic AI solutions. The role will establish enterprise AI standards, build foundational platforms and applications, and provide technical leadership across underwriting, claims, policy servicing, and corporate functions.
Responsibilities
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 patternsDefine the reusable AI capability and pattern library that federated teams build on, so that capability is built once and inherited rather than rebuiltLeads AI solution design reviews across central and federated builds and provide technical sign-off within the AI readiness gatesSet technical standards for evaluation, groundedness, guardrails, observability, security and cost engineering, and hold builds to themEvaluate AI platforms and tooling and recommend direction in alignment with Enterprise Architecture standardsPersonally design, build and deliver the foundational shared AI capabilities - platform, runtime, retrieval primitives, agent frameworks, and the evaluation harnessLead the technical delivery of prioritized flagship initiatives that establish the pattern for everything that followsBuild AI-powered assistants, copilots, workflow automation, and knowledge retrieval systems that improve business outcomes and employee productivityLeverage AWS Bedrock, Bedrock AgentCore, MCP and related technologies to build scalable, secure, and maintainable AI applicationsEstablish and enforce engineering practices for AI evaluation, model risk, observability, auditability, and responsible AI, in partnership with the AI Risk and Reliability Engineering LeadEnsure every AI solution is instrumented for groundedness, quality, drift, and cost from the first commit rather than retrofitted before go-liveProvide technical leadership and mentorship to AI engineers within the central team and to engineers building AI within federated development domainsLead the technical Community of Practice: shared libraries, office hours, code and design reviews, and internal enablement on agentic engineeringPartner with external accelerators to absorb expertise into the ADLC practice, mentor engineers and provide technical leadership across AI platform and application development effortsStay current on emerging AI technologies and recommend approaches that create business value
Skills
Bachelor's degree or equivalent in computer science, Engineering, Data Science, or a related field10+ years of experience in software engineering, solution architecture, platform engineering, or AI/ML development4+ years of hands-on experience designing and delivering Generative AI, AI-Native, or LLM-based solutions in production environmentsDemonstrated experience building agentic AI systems in production - orchestration, tool calling, retrieval frameworks, reasoning workflows, and autonomous task executionTrack record of defining technical standards or solution patterns adopted by engineering teams beyond the candidate's own teamExperience leading design review or serving as technical authority across multiple teams, without relying on direct reporting linesStrong software engineering skills with expertise in Python and modern cloud-native application developmentHands-on experience with AWS and modern AI services such as Amazon BedrockExperience developing and integrating APIs, enterprise platforms, and distributed systemsStrong understanding of cloud architecture, security, governance, ADLC delivery and operational excellenceDemonstrated ability to lead complex technical initiatives and influence architectural decisions across organizational boundariesExperience within Property & Casualty insurance or another highly regulated industryExperience with Bedrock AgentCore, MCP, vector databases, knowledge retrieval platforms, and AI evaluation frameworksExperience establishing AI evaluation practice - golden sets, groundedness and citation scoring, regression testing of model-based systemsFamiliarity with AI observability, governance, model risk management, and responsible AI practicesExperience with FinOps or cost engineering for large language model workloadsPrior experience as a Principal Engineer, Distinguished Engineer, Staff Engineer, or equivalent senior individual-contributor technical leadership role
Benefits
Generous 401K employer matchEmployee Stock Purchase plan with employer matchingGenerous Paid Time OffHealth, dental and vision benefitsWellness programs focused on physical, mental and financial wellbeingCareer development opportunities, which may include tuition reimbursement, industry-related c