AI Platform Engineer (Global)
At a glance
Mid-level ML Platform & Ops role at Accelerant. Remote · full-time.
Pay not stated AI Platform Engineer salary
aimlroles summary, based on the employer's posting.
What you'll do
- Build production AI agents and services, then turn useful AI components and workflows into reusable building blocks
- Prototype AI use cases and bring them into production, supporting development teams as they implement them
- Work with Compliance and ARX PS teams, and share ownership of AI workflow environments with DevOps
- Create RAG pipelines and tools for prompt versioning, evaluation, reliability, monitoring and cost tracking
- Maintain reference implementations and improve AI patterns alongside the AI Platform Architect
What you bring
- At least six years of software engineering experience
- Hands-on experience putting AI into production and integrating LLMs
- Expertise in prompt engineering, plus experience building agents or AI workflows
- Experience with vector databases and API orchestration, backed by strong systems thinking
Who this fits
This is a hands-on, mid-level platform engineering role for someone who can work across development teams and partner with an AI Platform Architect. The role is remote and globally flexible.
From the employer
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