Hiring: Lead AI Engineer – eCommerce Engineering Company: McAfee Location: Frisco, TX Job Posted Time: 2026-09-10 12:18:12 Employment Type: Hybrid Target Skills & Keywords : Data Lake, Data Pipeline, Databricks, ELT, ETL, Event-Driven, LLM, PySpark, Python, RAG, SQL, Snowflake, Spark About the job Experience: •8+ years in application development. •Designing, developing, and architecting large-scale production applications and distributed systems •Hands-on experience shipping LLM-powered applications •Production RAG systems, AI agents, or LLM-integrated internal tools - including responsibility for prompt design, retrieval/grounding, evals, and operational reliability. Track record of identifying and spreading AI use cases across engineering teams is a strong plus •3+ years in data engineering and analysis Required Skills: •Design a unified operational intelligence platform — an eCommerce Health view that combines system signals (latency, errors, integration and data-fl ow health) with commercial performance (conversion, checkout, auto renewal, feature adoption) in one trusted source of truth •Bring data from eCommerce, MarTech, observability, and operational datastores into an analytics-ready and AI-ready state through ETL/ELT pipelines, SQL, and data models, with automated quality validation —powering operational intelligence, KPIs, and cross-team reporting •Surface standardized engineering metrics across teams — delivery velocity(DORA-style), quality, security posture, incident trends, and service ownership •Ship AI agents that detect anomalies, surface critical issues with actionable context, and drive intelligent triage that accelerates root-cause analysis •Build AI productivity tools that help teams ship faster and operate more reliably — RCA assistance, intelligent search across telemetry, code and run book copilots Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!