Lead AI Engineer – eCommerce Engineering

McAfee; Frisco (TX); Hybrid; USD 136,000 - 223,000; Full time

Benefits offered by this job

401k Retirement

Medical, Dental, Vision

Paid Parental Leave

Unlimited PTO

Job summary

McAfee in Frisco, TX is seeking a Lead AI & Data Engineer to own the design of a unified eCommerce operational intelligence platform and an AI enablement strategy across engineering, shipping agents and productivity tools.

You will build ETL/ELT pipelines, surface standardized engineering metrics such as delivery velocity and incident trends, and ship AI agents to detect anomalies and accelerate root-cause analysis. Hybrid on-site as-needed near Frisco.

Qualifications

• 8 years in application development and distributed systems.
• 3 years in data engineering with production pipelines.

Responsibilities

• Design a unified operational intelligence platform combining signals with business metrics.
• Ingest data from multiple sources into analytics-ready pipelines and models.
• Surface engineering metrics across teams and enable AI agents and tools.
• Ship AI agents and productivity tools to accelerate incident response.

Skills

SQL & Spark

Python & ETL

Data Modeling

LLM Integration

Production AI

Tools

Databricks

Snowflake

ELT Orchestration

Job description

Role Summary

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.

Position Details

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

Experience

About You :

• 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

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
• 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

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.

Pay Range

The anticipated compensation for this position is USD $135,910.00/Yr. - USD $223,285.00/Yr. depending on experience and qualifications.

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