Posted today · be early
AI Platform Engineer (Global)
Accelerant
WorldwideremotePosted today
Skill Required
AI-Platform-EngineeringAI-ML-EngineerAI-Agent-DevelopmentMachine-Learning-EngineeringPlatform-EngineeringAI-Platform-EngineerSenior-AI-Platform-EngineerAI-ML-Platform-EngineerAI-Agent-Platform-EngineerAI-Data-Platform-EngineerAI-Platform-LeadAI-Platform-ArchitectMachine-Learning-Platform-EngineerAI EngineerPlatform EngineerAIsoftware engineeringGenerative AIObservabilityEngineeringbuildingdesignDevOpsRAGandFulltime
Key highlights
- Required experience: 6–8+ years software engineering
- Location: Remote Flexible
- Key requirement: Production AI implementation experience
Role overview
Accelerant is a data-driven risk exchange connecting underwriters of specialty insurance risk with risk capital providers, founded in 2018 to rebuild the way risk is exchanged. The AI Platform Engineer is a senior, hands-on technical leader responsible for building production AI agents, reusable AI components, and cross-organizational AI implementations, working across squads, AI Guilds, and AI driven development initiatives to translate AI strategy into practical, scalable solutions.
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
Requirements
- 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
Additional details
- Accelerant does business across more than 20 different countries and 250 specialty products
- Insurers have been awarded an AM Best A- (Excellent) rating
- Location: Remote Flexible
- Originally posted on Himalayas
