AI Systems Engineer

Job Description This large transportation company is seeking an AI Engineer to join our Service Analytics organization, supporting rail optimization, service analytics, and shipper decisioning. In this role, you will use Claude and modern AI tooling to build data pipelines, accelerate data science work, and ship production AI capabilities on top of our Azure and Databricks platform. You will sit at the intersection of data engineering and data science. You will write pipelines, train and evaluate models, and build LLM-powered systems — but what amplifies this role beyond a standard DS/DE seat is your fluency with Claude as a development partner: Claude Code, custom Skills, sub-agents, hooks, and the Model Context Protocol (MCP). You will partner with data engineers, data scientists, analysts, and business stakeholders to turn telematics, maintenance, and operations data into decisions our customers and operators can act on. 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 HR@insightglobal.com.

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https://insightglobal.com/workforce-privacy-policy/. Skills and Requirements Bachelor's degree in Computer Science, Data Science, Information Management, or a related field (Master's preferred). • Hands-on experience with Claude Code — Skills, sub-agents, hooks, MCP servers, and settings — and how to compose them into reliable engineering workflows. Experience with at least some of these primitives is required, with clear examples of what you have built Experience in Data bricks Data Engineering or Data Science background Python and SQL Experience VS Code Antigravity