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.
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 SummaryThe 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.
- 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
- 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
Cloud • Information Technology • Security • Software • Cybersecurity
Sell Zscaler cloud security solutions to enterprise accounts in the Toronto area. Build C‑level relationships, create long-term account strategies, collaborate with internal teams for account planning, act as a trusted advisor, and drive new logo acquisition and revenue growth.
Top Skills:
AICloud-NativeZero TrustZscaler Zero Trust Exchange
.png)
eCommerce • Fintech • Hardware • Payments • Software • Financial Services
Lead end-to-end delivery of high-priority, cross-functional Revenue initiatives including product and partnership launches. Develop integrated program plans, establish governance and operating cadences, drive cross-functional alignment, manage risks and dependencies, and create repeatable launch frameworks and executive communications to ensure successful market readiness and post-launch stabilization.
Artificial Intelligence • Consumer Web • Edtech • Enterprise Web • HR Tech • Social Impact • Generative AI
Own and deliver design for product features by translating research and business needs into user flows, visual design, prototypes, and interaction details. Partner with PMs, engineers, researchers, and data scientists to iterate, measure impact, and scale design solutions using design systems and data-informed hypotheses.
Top Skills:
Claude CodeFigjamFigma
What you need to know about the Boston Tech Scene
Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.
Key Facts About Boston Tech
- Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
- Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
- Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
- Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories
