Job Title:Lead AI Engineer – eCommerce Engineering
Role Overview: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.
About the Role:
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
About You:
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
Building production data pipelines, ETL/ELT workflows, and analytics platforms that turn raw operational and business data into actionable insights
AI & Engineering Operational Excellence (Must-Have):
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
Core Data Engineering Skills (Must-Have):
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
#LI-Hybrid
Company Benefits and Perks:
We work hard to embrace diversity and inclusion and encourage everyone at McAfee to bring their authentic selves to work every day. We offer a variety of social programs, flexible work hours and family-friendly benefits to all of our employees.
- Bonus Program
- 401k Retirement Plan
- Medical, Dental, Vision, Basic Life, Short Term Disability and Long-Term Disability Coverage
- Paid Parental Leave
- Support for 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
The starting pay range for this position is $135,910.00-$223,285.00. McAfee takes into consideration an individuals skillset, experience and location in making final salary determinations. For further details, please discuss with the Talent Acquisition Partner.
