AI Platform Engineer (Global)

For more information, please visit <a href="http://www.accelerant.ai/" class="css-173makr-linkStyle" style="color:rgb(30,74,169);cursor:pointer;" rel="nofollow ugc noopener noreferrer" target="_blank">www.accelerant.ai</a>.</p><h3>Role Summary</h3><p style="font-family:">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.</p><p style="font-family:">This role works across squads, AI Guilds, and AI driven development initiatives to translate AI strategy into practical, scalable solutions.</p><hr><h3>Core Responsibilities</h3><ul data-pattern="discCircleSquare" data-depth="1" style="font-family:"><li style="font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;text-align:start;">Build production AI agents and services</li><li style="font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;text-align:start;">Develop reusable AI components and workflows</li><li style="font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;text-align:start;">Prototype and productionize AI use cases</li><li style="font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;text-align:start;">Support development teams on AI implementations</li><li style="font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;text-align:start;">Collaborate with Compliance and ARX PS teams</li><li style="font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;text-align:start;">Co-own AI workflow environments (e.g., n8n) with DevOps</li><li style="font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;text-align:start;">Contribute to AI pattern development alongside AI Platform Architect</li><li style="font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;text-align:start;">Maintain reference implementations</li><li style="font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;text-align:start;">Improve AI reliability and observability</li><li style="font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;text-align:start;">Design and implement Retrieval-Augmented Generation (RAG) pipelines.</li><li style="font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;text-align:start;">Implement prompt management, versioning, and evaluation tooling.</li><li style="font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;text-align:start;">Establish AI observability, monitoring, and cost tracking practices.</li></ul><hr><h3>Operating Model</h3><ul data-pattern="discCircleSquare" data-depth="1" style="font-family:"><li style="font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;text-align:start;">Works in close partnership with AI Platform Architect</li><li style="font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;text-align:start;">Engages directly with development teams</li><li style="font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;text-align:start;">Provides hands-on support for AI-driven Development initiatives</li><li style="font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;text-align:start;">Contributes to AI standards evolution through implementation feedback</li></ul><hr><h3>Required Experience</h3><ul data-pattern="discCircleSquare" data-depth="1" style="font-family:"><li style="font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;text-align:start;">6–8+ years software engineering experience</li><li style="font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;text-align:start;">Production AI implementation experience</li><li style="font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;text-align:start;">LLM integration experience</li><li style="font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;text-align:start;">Prompt engineering expertise</li><li style="font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;text-align:start;">Experience building agents or AI workflows</li><li style="font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;text-align:start;">Experience with vector databases and API orchestration</li><li style="font-size:12pt;margin:3px 0px;letter-spacing:0.25px;line-height:1.6;text-align:start;">Strong systems thinking</li></ul><h3>Location: Remote Flexible</h3><p>Originally posted on <a href="https://himalayas.app">Himalayas</a></p>

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

Originally posted on Himalayas