Principal, AI Engineer (Remote)

Crum & Forster

$149K — $220K *
US-Anywhere
+ 4 other locationsRemote
Finance & Insurance
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor’s degree in computer science, Engineering, Data Science, or related field.
  • 10+ years of experience in software engineering, AI/ML development, or solution architecture.
  • 4+ years hands-on experience in production with Generative AI or LLM-based solutions.
  • Experience building agentic AI systems in orchestration and autonomous task execution.
  • Strong software engineering skills with expertise in Python and cloud-native development.

Responsibilities

  • Lead architecture, design, and implementation of enterprise-scale Generative and agentic AI solutions.
  • Define reusable AI capability and pattern library for federated team use.
  • Conduct AI solution design reviews and provide technical sign-off.
  • Establish and enforce engineering practices for quality and responsible AI.
  • Design and deliver foundational AI capabilities, including AI-powered assistants and workflow automation.

Benefits

  • Competitive compensation package.
  • Generous 401K employer match.
  • Employee Stock Purchase plan with employer matching.
  • Generous Paid Time Off.
  • Comprehensive wellness programs for employees and families.
Full Job Description
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 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. #LI-MS #LI-REMOTE What C&F will bring to you - Competitive compensation package - Generous 401K employer match - Employee Stock Purchase plan with employer matching - Generous Paid Time Off - Excellent benefits that go beyond health, dental & vision. Our programs are focused on your whole family’s wellness, including your physical, mental and financial wellbeing - A core C&F tenet is supporting your career development, so we provide a wealth of ways for you to keep learning, which may include tuition reimbursement, industry-related certifications and professional training to keep you progressing on your chosen path - A dynamic, ambitious, fun and exciting work environment - We believe you do well by doing good and want to encourage a spirit of social and community responsibility, matching donation program, volunteer opportunities, and an employee-driven corporate giving program that lets you participate and support your community

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