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 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 AgentCore, 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
Skills
- 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
- Experience within Property & Casualty insurance or another highly regulated industry
- Experience with Bedrock AgentCore, MCP, vector databases, knowledge retrieval platforms, and AI evaluation frameworks
- Experience establishing AI evaluation practice - golden sets, groundedness and citation scoring, regression testing of model-based systems
- Familiarity with AI observability, governance, model risk management, and responsible AI practices
- Experience with FinOps or cost engineering for large language model workloads
- Prior experience as a Principal Engineer, Distinguished Engineer, Staff Engineer, or equivalent senior individual-contributor technical leadership role
Benefits
- Generous 401K employer match
- Employee Stock Purchase plan with employer matching
- Generous Paid Time Off
- Health, dental and vision benefits
- Wellness programs focused on physical, mental and financial wellbeing
- Career development opportunities, which may include tuition reimbursement, industry-related certifications and professional training
- A dynamic, ambitious, fun and exciting work environment
- Matching donation program
- Volunteer opportunities
- An employee-driven corporate giving program
Company Overview
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