Lead AI Engineer - eCommerce Engineering

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 Overview McAfee is a leader in personal security for consumers. Focused on protecting people, not just devices, McAfee consumer solutions adapt to users’ needs in an always online world, empowering them to live securely through integrated, intuitive solutions that protects their families and communities with the right security at the right moment. 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 We're serious about our commitment to diversity which is why McAfee prohibits discrimination based on race, color, religion, gender, national origin, age, disability, veteran status, marital status, pregnancy, gender expression or identity, sexual orientation or any other legally protected status. The starting pay range for this position is $135,910.00-$223,285.00. McAfee takes into consideration an individual’s skillset, experience and location in making final salary determinations. For further details, please discuss with the Talent Acquisition Partner. Please click here to view and download the Job Applicant Privacy Notice, which applies to all McAfee job applicants who are residents of the state of California. McAfee recognizes and supports its obligation to reasonably accommodate applicants and employees with disabilities. We are here to help. Please let us know if you need a reasonable accommodation for any part of the application, interviewing, hiring, or at any other time during the employment process. Please do not include personal medical information in the email. Diversity is foundational for our business success. We want to be a workplace of choice for all people and we value the unique perspectives offered by a diverse workforce. McAfee does not unlawfully discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, citizenship, disability, protected veteran status, age, ancestry, medical condition, genetic information, marital status, pregnancy, or any other legally protected status. This principle applies to all areas of employment: recruitment and hiring, training, performance evaluations, promotions and transfers, compensation and benefits, and social and recreational programs. McAfee desires to be an employer of choice with an inclusive environment for all individuals. As part of this goal and in compliance with various laws and regulations, McAfee provides reasonable accommodation to applicants and employees. Requests for reasonable accommodation for applicants and employees are evaluated on a case-by-case basis. By submitting your CV/resume, McAfee will use the personal data that you have submitted in order to consider your application for a relevant role. McAfee processes personal data in accordance with its Privacy Policy (