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Accelerant

AI Platform Engineer (Global)

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Posted 2h agoApply before Nov 8

About the role

Role
AI Platform Engineer (Global)
Company
Accelerant
Location
Remote
Work model
Remote

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 .

Role Summary

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.

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.

Operating Model

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

Required Experience

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

Originally posted on

Himalayas

Skills & Technologies

LLMs

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