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Über
- Design and build AI-powered, agentic rating pipelines using frameworks like LangChain, CrewAI, or similar.
- Orchestrate end-to-end rating workflows, from data ingestion to final rating output.
- Develop prompt engineering and RAG pipelines grounded in proprietary rating logic, actuarial data, and regulatory documentation.
- Act as Human-in-the-Loop (HITL) to validate AI-generated code for accuracy, security, and compliance.
- Embed AI into CI/CD pipelines for automated testing, validation, and documentation.
- Lead the design of manufactured rating and structured rule frameworks.
- Translate regulatory filings, underwriting rules, and actuarial logic into deterministic, AI-readable formats.
- Define a low-code / DSL framework that allows safe, compliant rule updates by non-engineers.
- Drive automation across testing, regression detection, calculations, and comparisons.
- Help drive our evolution toward daily rating releases, with a focus on reducing manual code through automation.
- Contribute to the roadmap for transitioning the Rating team to AI-native workflows.
- Champion AI adoption and coach teams on prompt engineering, agent governance, and verification.
- Set performance metrics tied to AI-augmented productivity and quality.
- Partner closely with Product, Engineering, Data, Regulatory, and AI teams.
- Model our values, including innovation, experimentation, and rapid learning.
- Strong background in personal lines rating (Auto or Property).
- Knowledge of underwriting rules, risk classification, FSRA/provincial regulations, and CSIO standards.
- Experience with C# / .NET, APIs, enterprise systems, and CI/CD.
- Experience modeling logic using JSON, rules engines, decision tables, or declarative systems.
- Familiarity with low-code or DSL-based systems (nice to have).
- Hands-on experience with LLMs, RAG, agentic workflows, and prompt engineering.
- 7+ years of software development experience, including senior or lead roles.
- Experience building AI or automation systems in regulated environments.
- Strong communicator who can explain complex logic to technical and non-technical audiences.
- Curiosity, energy, and the ability to lead teams through change.
- Bachelor's or Master's degree in Computer Science, Data Science, or a related quantitative field or experience.
- 7+ years of software development experience.
- 2+ years of hands-on experience architecting and deploying AI / LLM-based systems in production.
- Experience working in regulated domains (insurance, finance, healthcare) with strong audit requirements.
- Background in personal lines rating (Auto or Property).
- Expertise with agentic frameworks (LangChain, AutoGen, CrewAI).
- Strong understanding of LLM fundamentals (RAG, prompt optimization, governance).
- Experience with cloud-native development and MLOps platforms (AWS, Azure, or GCP).
- Strong background in CI/CD, DevOps, and Agile delivery.
- Demonstrated success delivering complex systems while building healthy, high-performing teams.
Why Join Rival
- Build Canada's first AI-native insurance rating platform
- Work directly with leadership to define the future of Broker Management Platforms
- Move faster than any legacy vendor or startup
- Zero bureaucracy — maximum impact
- A mission that actually matters to the industry
Sprachkenntnisse
- English
Hinweis für Nutzer
Dieses Stellenangebot wurde von einem unserer Partner veröffentlicht. Sie können das Originalangebot einsehen hier.