Accelerant Jobs

AI Platform Engineer (Global)

Accelerant

AI Platform Engineer (Global)

Reposted 3 Months Ago

In-Office or Remote

Hiring Remotely in United Kingdom

Senior level

In-Office or Remote

Hiring Remotely in United Kingdom

Senior level

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.

The summary above was generated by AI

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 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

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