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They are committed to building an inclusive environment where engineers can have meaningful impact at global scale.\nAbout the Role\nThey are seeking a Lead AI Enterprise Data Engineer to architect scalable data platforms and production-grade AI solutions that power real-time monitoring, intelligent dashboards, and engineering productivity tools. This is a hybrid role based in Frisco, TX. Candidates must be within commuting distance. On-site presence is required as needed. Relocation assistance is not available.\nResponsibilities\nDefine and implement operational and business metrics using transactional, telemetry, and customer behavior data\nBuild near real-time dashboards for eCommerce funnels, subscription flows, payments, and key operational KPIs\nDevelop scalable data pipelines in Databricks using PySpark, Delta Lake, Workflows, and Medallion architecture\nOptimize Databricks-based data lake structures across eCommerce and MarTech domains\nImplement automated data quality and validation frameworks\nDesign and deploy AI models for anomaly detection, churn forecasting, and funnel drop-off prediction\nDevelop AI-powered copilots and internal tools to improve engineering productivity\nIntegrate LLMs such as OpenAI, Claude, LangChain, and open-source models into production systems\nBuild AI agents using AWS GenAI tooling\nTrack AI-driven KPIs and deploy enterprise or localized LLM solutions\nIntegrate AI systems with platform APIs, telemetry streams, and Databricks workflows\nDesign orchestration layers that enable automated decision-making\nArchitect scalable data and AI solutions across Databricks and AWS\nImplement CI/CD pipelines for AI and ML workflows\nDevelop cost optimization strategies and AI governance frameworks\nAutomate incident intelligence, monitoring, and reporting\nQualifications\n10+ years of enterprise application development experience\n3+ years of hands-on AI/ML experience in production environments\nDeep expertise with Databricks (PySpark, Delta Lake, Workflows)\nExperience building AI agents and GenAI integrations within AWS\nStrong SQL and NoSQL database experience\nExperience with BI and visualization tools such as Power BI, Tableau, Looker, or Grafana\neCommerce or MarTech domain experience preferred\nStrong architectural thinking and ability to drive cross-functional technical initiatives\nPay range and compensation package\nOur client offers competitive compensation and a comprehensive benefits package, including:\nPerformance-based bonus program\nRetirement and pension plans\nMedical, dental, and vision coverage\nGenerous paid time off\nPaid parental leave\nFlexible work arrangements\nCommunity involvement support\nEqual Opportunity Statement\nThey are committed to fostering an inclusive environment where employees feel valued, supported, and empowered to do their best work.\nCompensation\nThe base pay range for this role is $180,000 - 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