人工智能业务自动化工程师

团队

Operations

位置

阿什凯隆

雇佣类型

全职

位置类型

Hybrid

描述

LSports 是全球领先的体育数据提供商，深受全球博彩公司的信赖，致力于提供准确性与可靠性无与伦比的实时数据。凭借推动更智能交易和更深度互动的技术，我们助力博彩公司实现增长、推动创新，并始终保持行业领先地位。

If you're passionate about sports and technology and want to make your mark in a fast-moving industry, don't miss this chance! Step onto the field with us and help build the future of sports data. We are looking for a talented AI Business Automation Engineer.

What You'll Do:

  • Collaborate with business departments to map existing processes, identify inefficiencies, and prioritize automation opportunities.
  • Select and design suitable AI and automation technologies to optimize workflows, using tools such as n8n, Workato, Google Cloud, or other suitable platforms.
  • Build, configure, test, and deploy automations and integrations between systems, ensuring robustness, scalability, and maintainability.
  • Own and maintain live workflows in production: monitor runs, troubleshoot and fix failures, resolve data quality issues, and implement error handling and alerting.
  • Work closely with business users to test, validate, and roll out automation solutions; provide training and support to ensure successful adoption.
  • Define KPIs and success metrics for each automation, monitor outcomes, and ensure tangible value is delivered (e.g., time saved, cost reduced, errors eliminated).

要求

  • Proven hands-on experience implementing AI-driven business process automations in production environments, delivering measurable revenue gains and cost reductions.
  • Hands-on experience with AI automation tools, AI workflow and agent builders, such as n8n, Workato, or similar.
  • Solid understanding of APIs, integrations, and data workflows across modern SaaS applications, such as Salesforce, HubSpot, NetSuite, and others.
  • Bachelor's or Master's degree in Computer Science, Engineering, Data, AI, or a related field.
  • Strong problem-solving skills and the ability to translate business needs into technical solutions.
  • Excellent communication skills, with the ability to work across teams and explain technical concepts to non-technical stakeholders.