Senior AI & Data Platform Engineer

McAfee

Frisco (TX)

Hybrid

USD 135,910 - 223,285

Full time

14 days+

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Benefits offered by this job

Bonus Program
401(k) Retirement
Medical, Dental, Vision coverage
Paid Parental Leave
Paid Holidays
Unlimited PTO

Job summary

McAfee’s eCommerce Engineering Intelligence team seeks a Lead AI & Data Engineer to own a unified data platform and our AI enablement strategy across engineering, shipping agents, and productivity tools used daily by teams.

This hybrid role is based in Frisco, TX, requiring on-site presence as needed; you must be within commutable distance. You will build ETL/ELT pipelines, surface KPIs, and ship AI agents that detect anomalies and accelerate root-cause analysis.

Qualifications

  • 8+ years in application development.
  • 3+ years in data engineering and analysis.
  • Hands-on experience shipping LLM-powered applications.
  • Production RAG systems or LLM-integrated internal tools experience.
  • Experience building production data pipelines and analytics platforms.
  • Strong cross-functional partnership with Product, SRE, Security, and Architecture.

Responsibilities

  • Design a unified operational intelligence platform combining system signals with commercial performance.
  • Ingest data from eCommerce, MarTech, observability, and operational datastores into analytics-ready and AI-ready pipelines.
  • Surface standardized engineering metrics across teams (delivery velocity, quality, security posture, incident trends).
  • Ship AI agents that detect anomalies and drive intelligent triage for root-cause analysis.
  • Build AI productivity tools that help teams ship faster and operate more reliably.

Skills

SQL
Spark/PySpark
Python
ETL/ELT
Data modeling
Databricks/Snowflake
LLM AI

Tools

Databricks
Snowflake

Job description

McAfee’s eCommerce Engineering Intelligence team seeks a Lead AI & Data Engineer to own a unified data platform and our AI enablement strategy across engineering, shipping agents, and productivity tools used daily by teams.

This hybrid role is based in Frisco, TX, requiring on-site presence as needed; you must be within commutable distance. You will build ETL/ELT pipelines, surface KPIs, and ship AI agents that detect anomalies and accelerate root-cause analysis.

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