The AI Platform Engineer leads the development of production AI agents and components, collaborates on AI implementations, and maintains AI systems for reliability and observability.
About Accelerant
Accelerant is a data-driven risk exchange connecting underwriters of specialty insurance risk with risk capital providers. Accelerant was founded in 2018 by a group of longtime insurance industry executives and technology experts who shared a vision of rebuilding the way risk is exchanged – so that it works better, for everyone. The Accelerant risk exchange does business across more than 20 different countries and 250 specialty products, and we are proud that our insurers have been awarded an AM Best A- (Excellent) rating. For more information, please visit www.accelerant.ai.
Role SummaryThe AI Platform Engineer is a senior, hands-on technical leader responsible for building production AI agents, reusable AI components, and cross-organizational AI implementations.
This role works across squads, AI Guilds, and AI driven development initiatives to translate AI strategy into practical, scalable solutions.
Core Responsibilities- Build production AI agents and services
- Develop reusable AI components and workflows
- Prototype and productionize AI use cases
- Support development teams on AI implementations
- Collaborate with Compliance and ARX PS teams
- Co-own AI workflow environments (e.g., n8n) with DevOps
- Contribute to AI pattern development alongside AI Platform Architect
- Maintain reference implementations
- Improve AI reliability and observability
- Design and implement Retrieval-Augmented Generation (RAG) pipelines.
- Implement prompt management, versioning, and evaluation tooling.
- Establish AI observability, monitoring, and cost tracking practices.
- Works in close partnership with AI Platform Architect
- Engages directly with development teams
- Provides hands-on support for AI-driven Development initiatives
- Contributes to AI standards evolution through implementation feedback
- 6–8+ years software engineering experience
- Production AI implementation experience
- LLM integration experience
- Prompt engineering expertise
- Experience building agents or AI workflows
- Experience with vector databases and API orchestration
- Strong systems thinking
Location: Remote Flexible
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