Job Description Insight Globals client is seeking an AI Automation Engineer to join their team. This engineer will be responsible for developing automation tools and AIdriven solutions that streamline operational workflows, improve system reliability, and support both application health and lab environments. The role involves building integrations using modern AI platforms, automating routine processes, designing intelligent monitoring and diagnostic tools, and collaborating with crossfunctional teams across regions. The ideal candidate has strong scripting and cloud experience, is comfortable working with large language model technologies, and can operate independently in a fastmoving environment while supporting both daytoday automation needs and longterm AI initiatives. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce : Skills and Requirements 3+ years of experience in software engineering, automation engineering, or AI engineering. Hands on experience developing solutions and building chatbots with one or more LLM/AI platform such as: Claude, AWS Bedrock, Copilot, etc. Strong experience with Python, JavaScript/Node.js, or similar languages used in AI workflows and automation. Experience building APIs, integrations, and automation workflows. Strong communication skills and comfortable collaborating with crossfunctional teams across geographies. Experience with observability tools, incident management tooling, or application support environments. Experience with automation frameworks (CI/CD, test automation, workflow automation). Understanding of shipboard or distributed operational environments.

The role requires at least three years of experience in software engineering, automation engineering, or AI engineering. Candidates must have hands-on experience developing solutions and building chatbots with at least one LLM/AI platform such as Claude, AWS Bedrock, or Copilot. Strong experience with Python, JavaScript/Node.js, or similar languages used in AI workflows and automation is necessary. Experience building APIs, integrations, and automation workflows is also required. The candidate should possess strong communication skills and be comfortable collaborating with cross-functional teams across geographies. Experience with observability tools, incident management tooling, or application support environments is needed. Familiarity with automation frameworks like CI/CD, test automation, and workflow automation is also a requirement. An understanding of shipboard or distributed operational environments is also mentioned.