Lead AI Engineer – eCommerce Engineering

McAfee, LLC • Frisco, TX

7d • Hybrid

About The Position

Join our eCommerce Engineering Intelligence team as a Lead AI & Data Engineer. You’ll be the hands-on technical builder behind two strategic initiatives: a unified data platform that shows how eCommerce is performing —technically and commercially — and our AI enablement strategy across engineering, shipping agents and productivity tools that teams rely on every day.
This is a Hybrid position located in Frisco, TX. You will be required to be on-site on an as-needed basis; when you are not working on-site, you will work from your home office. You must be within commutable distance of Frisco, TX. We are not offering relocation assistance at this time.

Requirements

• 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.
• 3+ years in data engineering and analysis
• Building production data pipelines, ETL/ELT workflows, and analytics platforms that turn raw operational and business data into actionable insights
• Agentic AI and LLM application engineering - shipping production agents, RAG systems, and LLM-integrated tools with sound judgment on tool-use, guardrails, evals, and reliability
• Efficiency-driven impact - track record of using AI to measurably reduce toil and accelerate incident response, translating operational needs into solutions teams adopt
• Strong cross-functional partnership across Product, SRE, Security, and Architecture
• Expert SQL and Spark/PySpark for production pipelines across large-scale data sets (billions of rows)
• Strong Python, ETL/ELT orchestration, and data modeling for analytics and operational telemetry
• Modern data lake house platforms (Databricks, Snowflake, or similar), real-time and event-driven processing

Nice To Haves

• Track record of identifying and spreading AI use cases across engineering teams is a strong plus

Responsibilities

• Design a unified operational intelligence platform — an eCommerce Health view that combines system signals (latency, errors, integration and data-flow 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

Benefits

• Bonus Program
• 401k Retirement
• Medical, Dental, Vision, Basic Life, Short Term Disability and Long-Term Disability Coverage
• Paid Parental Leave
• Support and Community Involvement
• 14 Paid Company Holidays
• Unlimited Paid Time Off for Exempt Employees
• 96 Hours of Sick Time and 120 Hours of Vacation for Non-Exempt Employees Accrued Each Year

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed