Accelerant Logo

Accelerant

AI Platform Engineer (Global)

Reposted 9 Days Ago
In-Office or Remote
Hiring Remotely in Singapore, SGP
Senior level
In-Office or Remote
Hiring Remotely in Singapore, SGP
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

Similar Jobs

5 Hours Ago
In-Office or Remote
Senior level
Senior level
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
Lead the CFC CRM product for HCP/HCO-facing colleagues, define roadmap, translate stakeholder needs into prioritized enhancements, write requirements and user stories, partner with engineering, UX, vendors and compliance to deliver scalable global CRM solutions and measure business impact.
Top Skills: Crm PlatformsLife Sciences CloudOceSalesforceVeeva
10 Hours Ago
Remote or Hybrid
Senior level
Senior level
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Lead large Oracle Field Service implementation projects as a Solutions Architect senior manager. Design and deploy Oracle Fusion Service and Field Service Cloud solutions, guide assessment and future-state planning, interact with senior clients, coach teams, apply delivery methodologies and accelerators, and drive continuous improvement.
Top Skills: Oracle Customer ExperienceOracle EpmOracle Field Service CloudOracle FinOracle Fusion ServiceOracle HcmOracle Lead ManagementOracle Marketing AutomationOracle Sales AutomationOracle Scm
10 Hours Ago
Remote or Hybrid
Senior level
Senior level
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Lead end-to-end product lifecycle for internal and commercial software products, drive product strategy and commercialization, collaborate with cross-functional teams, apply Agile methods, coach teams, validate client outcomes, and execute roadmaps and go-to-market plans.
Top Skills: Agile MethodologyProduct Lifecycle Management

What you need to know about the Singapore Tech Scene

The digital revolution has driven a constant demand for tech professionals across industries like software development, data analytics and cybersecurity. In Singapore, one of the largest cities in Southeast Asia, the demand for tech talent is so high that the government continues to invest millions into programs designed to develop a talent pipeline directly from universities while also scaling efforts in pre-employment training and mid-career upskilling to expand and elevate its workforce.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account