AI Engineer

Roles/Responsibilities: • Contribute to design decisions for AI-assisted workflow builds — evaluating approaches, trade-offs, and technical feasibility, not just implementing a spec handed down. • Own evaluation of AI/LLM-driven workflow automations — designing eval criteria, running and interpreting evals and using results to improve prompt/workflow design. • Build and maintain automations/workflows on our low-code AI orchestration platform. • Translate Claims business processes and operational requirements into scalable AI-enabled workflows. • Integrate AI capabilities (LLMs, APIs) into workflow-builder-based and other automation pipelines. • Work closely with platform/technical partners and the Claims team, communicating technical decisions and trade-offs to both technical and business stakeholders in an agile environment. • Support the wider team's automation delivery where needed, in addition to the Evals/design remit above. Skills Needed: • Meaningful hands-on AI/ML engineering experience — able to reason about model behaviour, prompt design, and evaluation methodology, not just consume AI via an API. • Practical experience running or building LLM evaluation frameworks/pipelines, including designing meaningful eval metrics. • Experience with low-code/no-code automation platforms (N8N, Automation Anywhere, or similar) — experience with proprietary/vendor-specific workflow builders is a strong plus but not required going in. • Ability to understand and translate business processes and operational requirements into scalable AI workflows. • Strong problem-solving capability, able to work independently and take ownership of deliverables. • Excellent stakeholder communication skills across technical and business teams. • Experience integrating AI capabilities into enterprise workflows, including API orchestration and automation pipelines. • Experience within Insurance or Claims operations would be highly beneficial but not essential.